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COVID-19 marked a turning point for digital health. In fact, it made mobile medical apps mainstream in healthcare. According to Statista, as of 2025, the Google Play Store had over 36K healthcare apps, and the Apple App Store had over 35K. These apps cover telemedicine, fitness, wellness, mental health, nutrition, and pharmacy delivery, competing for users' attention and digitalizing the traditional healthcare industry.

Since development isn't just about coding, it requires complex regulatory navigation, technological and market demands, and strategic investment.

The cost of developing a health app will vary depending on what kind of app you want to launch. In fact, all types of eHealth apps, from telemedicine, fitness and wellness, mental health, and nutrition planning to pharmacy delivery apps — are getting great traction in the market today. 

In this article, you will learn what affects the cost of developing a healthcare mobile app.

Healthcare Apps Market Overview

The mHealth app sector demonstrates skyrocketing growth driven by evolving healthcare delivery models. According to Grand View Research, the global healthcare app market will grow at a 14.9% CAGR through 2030. This growth is due to increased smartphone use for health tracking, the rise of AI assistants, and a demand for remote, patient-centered care.

Advantages of Developing a Healthcare App

Digitalization and automatization run the world, and healthcare thrives here the most. Since patients can now reach doctors with a few clicks, digital monitoring and telemedicine cut care costs by 25%.

About 63.4% of U.S. adults use mobile health apps, with many relying on them daily for fitness and wellness tracking. Additionally, a survey showed that 59% of participants have 1-3 health-related apps, which highlights even more significance of healthcare apps.

And the benefits don't end here. Dive with us into some of the other top benefits of healthcare apps:

Improved Patient Engagement

mHealth apps lead to better patient outcomes. With remote monitoring and reminders, they provide direct communication with providers and offer personalized health management tools.

Patient Customization and Tailored Treatments

Custom mobile apps streamline access to patient records. They help doctors create personalized treatment plans, improving outcomes and patient-provider relationships.

Medication Adherence Support

Medication reminders and tracking tools within these apps promote adherence, empower patients, enable timely provider intervention, and improve the management of chronic conditions.

Health and Fitness Tracking

Real-time data fosters proactive wellness and motivates users to achieve their health goals. Sharing this data with healthcare providers facilitates personalized care and timely interventions.

Analysis of Patient Behavior

These apps track patient behavior, including mood, medication use, and lifestyle choices. Real-time feedback lets doctors adjust their plans. Improved communication boosts patient engagement and outcomes.

Real-Time Global Collaboration

These apps break down geographical barriers and enable global healthcare teams to collaborate on personalized treatments. Continuous patient monitoring enables prompt intervention, fosters proactive healthcare, and raises global care standards.

Emergency Services Integration:

Healthcare apps with emergency services let users quickly contact help, share their location, and get help in emergencies. This approach improves response times and can save lives.

Reduced Diagnostic Errors

mHealth apps enhance diagnostic accuracy and patient safety. Intelligent tools support better decision-making, while predictive features help identify potential drug interactions and other adverse events.

Secure and Convenient Payment Options

Integrated payment gateways enable seamless transactions via credit/debit cards or PayPal. Automated notifications and easy access to payment history streamline billing and enhance patient satisfaction.

Efficient Data Management

Using AI and blockchain in mobile health apps improves data management, streamlines processes, and enhances doctor-patient communication. This approach leads to more personalized treatment and better health outcomes.

Types of Healthcare Apps and Their Development Cost

In this section, we'll look at the average cost to build a healthcare app across various categories.

Telemedicine App

Telemedicine is a synonym for modern healthcare. Now, healthcare professionals are at the fingertips and available from the comfort of home. From virtual consultations to video calls, the possibilities are vast. 

Check for key components, cost, and timeline of the app deployment below:

Health and Wellness Tracking App

Given the vast and growing market, launching a wellness app is a promising venture. Look at the success of Headspace and Calm. They help many users find a sense of calm every day. Wellness apps typically include features like meditation, mindfulness practices, and productivity tools. With AI-powered nudges, you can help users stay mindful and re-energized.

Inspect the key aspects, budget requirements, and timeline for deploying the app below:

Medical Networking App

These platforms harness the power of the Internet to foster connections and collaboration. Healthcare providers can use these apps to expand their knowledge and share important information with respected colleagues.

Below, we've listed the app's features, financial estimates, and launch timeline:

E-prescription Apps

E-prescription apps are reshaping the prescription process, blending security with efficiency. They allow healthcare professionals to prescribe precise dosages, which pharmacies receive in real-time. This seamless flow ensures that medications are delivered right to patients' homes, making healthcare as easy as a tap on the screen.

Here's a detailed look at the app's features, cost projections, and expected timeline.

Hospital & Clinics Management Apps

Hospital and clinic management apps simplify administrative tasks, improve resource allocation, and boost overall efficiency in healthcare settings.

Below, we've detailed the app's features, pricing estimates, and launch schedule.

Chronic Disease Management Apps

Chronic disease management apps help users track symptoms, manage medications, and communicate with healthcare providers.

Take a closer look at the app's features, estimated costs, and projected timeline.

Appointment Scheduling Apps

Healthcare appointment scheduling apps make booking and modifying appointments easier, which improves patient satisfaction.

The app's primary functions, projected costs, and deployment timeline are listed below.

EHR/EMR Systems

Modern healthcare demands secure digital record systems. Blockchain EHR platforms protect sensitive patient data while facilitating doctor-patient communication. Smart contract automation streamlines medical workflows.

Check the app's core functionalities, expected expenses, and rollout schedule below.

Remote Monitoring Apps

Remote monitoring apps provide real-time insights into patients' health metrics, empowering healthcare professionals to act swiftly. This seamless connection ensures timely interventions, making healthcare more responsive and effective.

See the app's features, financial estimates, and launch timeline below.

Medical billing and coding

Medical Billing means submitting and following up on claims with health insurers to get paid for services by healthcare providers. It also includes verifying patient insurance, processing payments, and managing accounts receivable.

Medical Coding turns healthcare diagnoses, procedures, and services into universal alphanumeric codes. Accurate coding is crucial; it directly impacts billing accuracy and claim approvals.

If speaking to the real-world case, the hospital tracked underpayments and payer performance by implementing the billing system, boosting patient collections from 5% to 22-26%.

Key Features of Medical Billing Software

1. Patient Record Management.

Efficient management of patient records eliminates manual filing and ensures quick access to necessary information. 

2. Medical Coding Automation.

The software supports standardized coding systems like ICD-10 and CPT to automate the coding process and reduce claim denials due to errors. 

3. Payment Processing Integration.

Integrated payment processing capabilities allow secure online payments via various methods, enhancing patient convenience. 

4. Financial Performance Analytics.

Tools for generating reports on collections, rejections, and overall financial performance help healthcare providers analyze their revenue cycle. 

5. Electronic Health Record Synchronization.

Seamless integration with Electronic Health Records (EHR) systems consolidates data accurately, improving workflow efficiency and reducing billing errors.

Steps in Developing Medical Billing Software

Developing medical billing software requires a strategic approach. It must balance technical complexity, compliance with regulations, and a user-centric design. This process involves planning, skilled development, and rigorous testing to meet healthcare standards. 

Define Requirements.

Clearly outline the functionalities needed based on user feedback and technical specifications.

Software Development.

Engage a team of developers to create the software, focusing on design specifications, security considerations, and compliance with regulations like HIPAA.

Testing.

Conduct thorough testing to ensure functionality meets compliance standards and is free from technical issues before deployment.

Formula to Calculate Medical App Development Cost

The final estimate of your healthcare mobile app development cost relies on the duration of your project. However, you can calculate the approximate cost using the formula for the healthcare app development cost:

The hourly rate is the cost charged per hour of work, and development hours account for the total time used in the process.

Note! 

The hourly rates depend on the skills and location of the app developers. If you have an offshore team, you might gain some cost advantages. Yet, skilled professionals might charge higher fixed prices. You must balance expertise and budget to get the best app development value.

Cost Per Feature in Healthcare App Development

The cost of healthcare app development is the cornerstone. Each added feature impacts the overall budget. For instance, user authentication can cost $2,000 to $5,000. Telemedicine features may cost $10,000 to $15,000. User-centric options, like appointment scheduling, cost $1,000 to $3,000 each. Strategic planning is essential to manage costs effectively. 

Let's take a closer look at the price of each feature:

Cost Per Hour for App Development By Region

The hourly rate for healthcare app development isn't set in stone; it varies widely based on several key factors. They involve the app's complexity, the developers' expertise, their location, and the project's scope.

Here's a quick guide to typical hourly rates across different regions:

North America (USA, Canada): $100 – $250

The rates in North America are among the highest globally due to the high demand for skilled developers and the cost of living in major tech hubs like Silicon Valley. Senior full-stack developers can charge between $150 and $200 per hour.

Western Europe (UK, Germany, France): $80 – $200

This region has high rates due to a strong demand for skilled developers and a robust business environment. Countries like Germany and the UK typically charge between $22 and $90 per hour for developers, depending on their experience level. The average salary for software engineers in Western Europe ranges from $60,000 to $95,000 annually.

Eastern Europe (Poland, Ukraine, Romania): $40 – $100

Eastern Europe offers a competitive balance of cost and quality. The average hourly rate is lower than in Western Europe, with many skilled developers available between $24 and $46 per hour. With strong technical education and a growing IT workforce, Poland and Ukraine offer readily available development talent.

Asia (India, China, Philippines): $20 – $80

Asia generally offers the lowest rates for software development. However, quality can vary widely among developers. Rates typically range from $10 to $80 per hour. It is crucial to thoroughly vet developers in this region to ensure quality and reliability.

Australia and New Zealand: $80 – $150

Developers in Australia and New Zealand command higher salaries due to the high cost of living and demand for skilled labor. Average hourly rates range from approximately $50 to $150, depending on experience and specialization.

South America (Brazil, Argentina): $30 – $100

South America presents competitive rates with a growing pool of talented developers. Hourly rates typically range from $20 to $100, making it an attractive option for companies seeking cost-effective development solutions while maintaining quality.

Hidden Expenses in App Development

When planning a budget for mhealth app development, don't forget to account for these additional costs:

• Project Management: Usually adds 10-20% to the overall medical app development cost.
• Design: UI/UX design rates typically range from $50 to $150 per hour.
• Testing and QA: Costs generally fall between $30 and $100 per hour.
• Maintenance and Support: Ongoing expenses after launch are often billed at the same hourly rate as development.

Note!

These approximate figures may fluctuate based on your project's specifics and development team.

Legal and regulatory costs

Legal and regulatory healthcare app development costs can range from $5,000 to $15,000 annually. This covers compliance with key regulations like HIPAA in the U.S. and GDPR in Europe. These costs include fees for obtaining certifications, conducting privacy audits, and ensuring compliance with evolving legal standards. Developers must also consider the costs of data protection. They may need to consult lawyers to navigate complex regulations.

What Affects the Healthcare App Development Costs?

Healthcare software solutions come with different price tags. For example, an EHR system may cost $10K to $250K, while telemedicine platforms can range from $40K to $400K. What factors contribute to these costs? We're here to explain.

Scope and complexity

Healthcare app development costs hinge on project complexity. Advanced features like AI-powered decision support, analytics, and device integration drive up expenses and development timelines. Precise project scoping is critical: it minimizes unexpected costs and ensures optimal resource allocation.

Regulatory compliance

Protecting patient data via HIPAA compliance is non-negotiable, as it entails trust in healthcare services overall. However, it often comes at a cost: increased development complexity, higher expenses, and the added overhead of certifications impact both — budget and time to market.

Integration requirements

System compatibility drives up healthcare software development expenses. For compatibility and seamless data transfer, developers must invest substantial effort in connecting new software with legacy Electronic Health Record (EHR) and Electronic Medical Record (EMR) systems. The integration process becomes more complex when incorporating third-party services like payment platforms, telehealth tools, and laboratory information systems, dramatically increasing both development and testing costs.

Technology stack

Cross-platform software development multiplies costs. Creating separate codebases for web, iOS, and Android platforms can exponentially increase development expenses. Moreover, integrating cutting-edge technologies like AI and blockchain requires rare expertise, significantly inflating development costs.

Development team composition

Healthcare app development costs depend on the team structure. An in-house team may provide more control, while outsourcing to a third-party vendor can be more cost-efficient with proper management. Remember that specialized skills, such as cybersecurity experts and data scientists, are usually more expensive.

Design and user experience

Design determines healthcare software success. While a high-quality, user-friendly design may increase initial healthcare app development costs upfront, it drives better adoption and satisfaction in the long run. Features for disabled users will have higher design and development costs. Major expenses come from thorough research, testing, and iterative development.

Testing and quality assurance  

The smooth operation of healthcare software depends on regular testing. In-depth testing for functionality, security, compliance, and performance raises healthcare app development costs due to the lengthy cycles involved. Feedback from real users during testing further raises the overall project expenses.

Maintenance and support

Healthcare software expenses don't end at development. Maintenance and post-launch support (e.g., bug fixes, updates, regulatory compliance changes) demand ongoing investment. Additionally, providing user support services adds to overall operational expenses.

These factors guide informed decisions on scope, technology, and resources for healthcare software development. Plus, they empower effective budgeting and cost management, often resulting in successful healthcare software development initiatives. 

Best Practices for Cost-Efficient Healthcare App Development

Deployment of healthcare apps is an expensive process. Sometimes, it squishes the expenditures; software integration expenses range from $20,000 to $100,000, while regulatory compliance adds $20,000 to $80,000 to development budgets. These substantial costs necessitate strategic financial management.

Smart business owners seek smart moves to keep healthcare app development costs under control. Here are some options available in detail:

Opt For Cross-Platform Development Tools.

React Native and Flutter can cut your budget by up to 1.5 times through a shared iOS and Android codebase. In addition, source code from a cross-platform mobile app can be repurposed to create a web application.

Leverage Off-the-Shelf SDKs and Code Libraries.

Businesses can use existing solutions and customize them to fit their needs instead of building common features from scratch. Pick a ready-made option and modify it to fit your specific needs.

Consider White-Label and No-Code Solutions.

Branded and system-integrable off-the-shelf products provide a cost-effective way to roll out services like telehealth. This white-label product integrates with your digital systems, like practice management platforms. It lets clinics cost-effectively start telehealth services using no-code solutions.

Conduct Rapid Prototyping.

Before diving into full development, opt for prototyping. This stage can help validate your ideas and test the UI/UX while cutting unnecessary costs.

Employ a Multidisciplinary Team.

Hire a full-stack team that includes in-house talent in design, development, QA, etc. Clearer, more concise communication keeps mHealth app development costs under control.

Outsource Smart. 

Outsourcing holds potential as a strategic solution yet demands careful evaluation before proceeding. Combining medical app development intricacies with cultural misunderstandings can produce a product that fails to fulfill expectations. The cost of healthcare app development in the USA mirrors its distinct challenges and established standards.

Involve in the Development Process From the Start.

One of the greatest mistakes is to hire an experienced team and then leave to manage themselves. Make the feedback a routine, and maintain communication with the development team throughout the process. If you lack time and material — hire a dedicated project manager. Make sure your reliable partner maintains regular updates with you.

Conduct Thorough Testing.

QA is on your development partner. Nevertheless, you can also verify stuff on your end. Early detection of bugs simplifies their resolution while keeping costs low. To prevent old errors from recurring, developers should conduct retrospective tests.

Implement DevOps Best Practices. 

Without appropriate DevOps practices, developers lose valuable time. Automated DevOps systems allow developers to focus on writing code features rather than spending time on manual quality assurance and releases.

Optimize Maintenance Costs. 

Long-term maintenance costs decrease when automated platforms track issues and collect user feedback.

Prioritize Features Wisely.

Start with core features before building a Minimum Viable Product (MVP), enabling market testing before further development.

Regulatory Compliance For Health Apps

Developing medical applications requires strict adherence to international data protection standards. These regulations safeguard patient information and ensure legal compliance across global markets. Here's a comprehensive breakdown of key regulatory frameworks:

1. European Union: GDPR (General Data Protection Regulation)

Coverage: Patient health records and personal data

Key Features:

• Mandatory data breach reporting within 72 hours
• Patient right to data access and deletion
• Requires explicit consent for data collection

Fines: Up to €20M  or 4% of global revenue

2. United States: HIPAA (Health Insurance Portability and Accountability Act)

Coverage: Protected health information (PHI)

Requirements:

• End-to-end data encryption
• Access control mechanisms
• Audit trails for all data access
• Regular security assessments

Penalties: Up to $1.5M per violation annually

3. Canada: PIPEDA (Personal Information Protection and Electronic Documents Act)

Coverage: Private sector data handling

Key Requirements:

• Explicit consent for data collection
• Purpose limitation
• Data accuracy maintenance
• Security safeguards

Penalties: CAD 100K per violation.

Tech Stack For Healthcare App Development

Discussing the tech stack goes first, right before answering the ultimate question of how to develop a health app. Also, will the dev work blow the budget?

Since the health app's tech affects its performance, convenience, and company expenditures. Here are some common tech stacks for mhealth app development used by the Darly Studion team:

Programming Languages: 

Java, Python, C#, C++, JavaScript, PHP, and HTML5.

The choice of specific language depends on the functionality you need. If the app stores and analyzes large data or uses AI, choose Python and Java for the backend and JavaScript for the front end.

Operating Systems: 

Windows, macOS, Linux, and mobile Apple iOS or Google Android.

Here, we just need to choose a trustworthy provider with great support. We choose an OS with strong security and top performance.

Databases: 

MySQL, Oracle, PostgreSQL, Memcached, and MongoDB.

To select the best database or a mix, contact a development team. They will evaluate your data type, volume, and request frequency to guide you in choosing the right database size and provider.

Servers: 

Apache server and NGINX.

These two options lead the market, but their HIPAA compliance is most important to us.

Other useful tools:

• DevOps tools: GitHub, Jenkins, Selenium, Rollbar, or Bitbucket.
• Business tools such as Slack and G Suite — for communication and management.
• Tools like Google Analytics for tracking, Stripe for payments, and Elasticsearch for search enhance functionality.
• Cloud storage and hosting providers such as Amazon S3, Amazon EC2, or DigitalOcean.

Now that we've covered the technology stack for healthcare apps let's break down the next practical steps.

Design for Healthcare App Development: Best Practices

Creating effective healthcare applications requires meticulous attention to design principles that balance clinical utility with user experience. Studies show that 93% of physicians believe mobile health apps can improve patient care, while 80% of users abandon healthcare apps within the first 2 weeks due to poor design.

User Interface Design

Medical professionals spend an average of 4.5 hours daily interacting with healthcare interfaces. Design must accommodate the 15-second average attention span during critical care scenarios, with interfaces allowing task completion within three clicks or less.

Visual Elements

• Color schemes with a minimum 4.5:1 contrast ratio (WCAG 2.1 standards)
• Typography: 16px minimum for body text, 24px for headers
• Maximum of 6-8 core icons per screen to prevent cognitive overload
• 95% of users expect consistent branding across all touchpoints

Functionality Considerations

• Critical features accessible within 0.8 seconds
• The data visualization comprehension rate should exceed 90%
• Forms designed to reduce error rates below 1%
• 99.9% uptime for offline critical functions

Security Measures

• 2-factor authentication reduces breaches by 99.9%
• 256-bit AES encryption ensures the security of data at rest and in transit
• HIPAA compliance requires 72-hour breach notification
• Monthly security audits covering 100% of the codebase

Accessibility Features

• Voice commands with a 95% accuracy rate
• Screen readers supporting 40+ languages
• Text scaling from 100% to 400%
• Regional support for 25+ major healthcare markets

Performance Optimization

• Page load times under 3 seconds (Google's benchmark)
• Data sync completion within 5 seconds
• Maximum 5% battery drain per hour of active use
• 99% crash-free sessions rate

Testing Requirements

• Minimum 500 hours of user testing with healthcare professionals
• 100% compliance with ISO 13485 medical device standards
• Testing across 15+ device types and 5+ operating systems
• Weekly security scans covering 50+ vulnerability types

Key Metrics for Success:

1. User Retention: Target 70% after 30 days
2. Task Success Rate: Minimum 95%
3. Error Recovery: Under 5 seconds
4. System Response Time: Under 0.1 seconds
5. User Satisfaction Score: Above 85%

Healthcare Application Development Steps

Crafting a custom medical software development service demands mastering five non-negotiable development stages:

Step 1. Shape the concept for your app

Before writing a single line of code, decode the fundamental value proposition, transforming your app from a mere download to a user's daily digital health companion.

Decode your audience's DNA.

Segment users by age, location, and average income. Analyze their needs to create a value proposition that challenges industry standards.

Conduct market research.

Identify the strengths and weaknesses of your target market. Benchmark against competitors and develop a unique value framework.

List selling points.

Create a comprehensive list of features and additional services that will appeal to your target audience and encourage them to choose your mhealth app.

Define your goals.

Clearly outline the objectives you want the app to achieve and align them with your budget for effective planning.

Step 2. Choose the monetization model

Basically, there are six monetization business models for healthcare apps, from freemium to paid-in-app. This aspect is pretty simple for healthcare providers who decided to build a healthcare app as another platform to sell their services. 

Healthcare providers who use healthcare apps to sell their services will find this aspect straightforward because they don't need to generate revenue from the app, which functions as an additional tool. However, the question is a bit more complicated for owners of apps such as meditation or healthy lifestyle platforms. 

Step 3. Create UI/UX design

In this development phase, UI/UX designers establish the app's functionality and visual design while managing platform branding when necessary. The most time-consuming task during this stage remains developing prototypes that include visual mockups for each app screen and user interaction.

Another crucial part of the design process is selecting fonts, color schemes, and button placement. mHealth platforms must prioritize responsive design across all devices while ensuring users can reach their goals efficiently.

Step 4. Build an MVP

Even if you lack the necessary funding to implement your ideas today, that doesn't mean you cannot begin developing your project. That's what an MVP is for.

MVP creation enables faster launch and collection of initial user feedback. As your app develops, you can raise more funding. This will help expand its capabilities. An MVP approach cuts financial risk since it requires less investment to test a product's viability before committing further.

Step 5. Collect feedback and update

Typically, at this stage, QA engineers perform another round of testing after developers deploy updates to ensure that there are no bugs and that project requirements match the results.

Timeline of Custom Healthcare Software Development Services 

The timeline for custom healthcare software development varies according to the complexity, scope, and specific requirements. Let's explore the general phases involved.

Initial consultation and planning.

This phase starts by engaging stakeholders to clarify their needs and objectives. It then lays down the scope, key features, and deliverables, resulting in a high-level timeline and budget. The project team then defines roles and responsibilities. This process typically takes two to four weeks.

Research and analysis.

The research and analysis phase starts by analyzing market trends and examining competitors' healthcare software solutions. The next step is gathering insights through surveys and interviews with potential users. The technology stack, third-party integrations, and compliance requirements are evaluated at this stage to ensure thoroughness. This vital phase will take three to five weeks and lay a solid foundation for your project.

Designing phase.

The design phase usually spans four to eight weeks. At this phase, create wireframes and prototypes for key screens and user journeys to develop a user-friendly interface. Additionally, conduct a usability test. Every detail must shine.

Development phase.

This phase lasts 12 to 24 weeks. It focuses on building the software's core: the backend, the front end, and key features like patient records, scheduling, and billing. The backend includes the databases and APIs. The front end must be user-friendly. Plus, robust security measures are integrated, including HIPAA and GDPR compliance.

Testing.

Before release, the software undergoes a 6 – to 10-week testing cycle. This includes unit tests, integration tests, performance tests, security tests, and user acceptance tests, which help ensure the software performs well and is secure.

Deployment and training.

The deployment and training of your healthcare software will take three to six weeks. At this phase, developers ensure the software works well, that any early issues are fixed quickly, and that the app is user-friendly. 

Must-Have Features of Healthcare Apps

The type and main function of a healthcare app dictate its features. Yet, there are the most common that mHealth apps share, whether for telemedicine, hospitals, or urgent care. Here are the essentials:

• Sign-up / Sign-in. While in-app registration might require hefty user details and time to figure everything out, the sign-in process should be swift and easy. For a smooth experience, allow users to sign in with their email.

• Doctors' and patients' profiles. Doctors' profiles should display their specialization, education, current workplace, and availability. Patients' profiles must include their medical history, prescribed medications, and other key health details to ensure a seamless interaction.

• Appointment management. The calendar feature helps doctors track appointments and allows patients to browse available slots to book visits. A seamless experience for everyone involved!

• Push notifications. Designed for both healthcare workers and patients, these features act as reminders for upcoming appointments and medication alerts.

• In-app chat. With in-app chat, users can easily connect with healthcare managers or doctors. It enables faster communication, making healthcare more accessible and efficient.

• Video consultations. The shift to video call appointments came as a safer alternative during the pandemic when in-person consultations posed higher risks. Now, this option saves time for doctors and patients and lowers the chance of spreading illnesses.

• EHR integration. Each medical visit or procedure adds to a patient's treatment history, stored in an EHR (electronic health record) system. Including an EHR system in your app is vital for delivering the best care and streamlining the process for future healthcare providers treating the patient.

• E-prescriptions. As consultations move online, doctors should also be able to prescribe medications digitally, which cuts time waiting in key and frees up doctors' time. Another benefit is that e-prescriptions are more secure and difficult to forge.

• Payment gateway. Paid medical services go hand in hand with in-app payments. Thus, opt for payment gateways that accept credit and debit cards, digital wallets, crypto payments, and other alternative methods.

• Ratings and reviews. Designed for patients, this feature simplifies selecting a trusted professional who fits their specific requirements.

Challenges in Healthcare App Development

Healthcare app development faces several challenges that can hinder progress.

Non-Compliance with the Law.

HIPAA and FDA regulations safeguard personal data and guarantee the safety of products. Failure to follow these rules leads to financial penalties and the erosion of trust. To ensure compliance and avoid penalties, businesses must consult legal experts.

Lack of Security.

Hackers can quickly access sensitive data, such as customer information or financial records, when business security systems fail. Businesses can suffer reputational damage and financial losses due to this. To prevent this, businesses must improve their security and work with tech experts.

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Presence of Multiple Channels and Devices.

Multiple channels and devices present integration challenges since they operate on unique systems and protocols while meeting different requirements. Differences between technology standards and data formats trigger compatibility problems that need additional effort to fix. 

Marketing and Launch Cost of Healthcare Application

Depending on scale and strategy, a healthcare app's marketing and launch costs can range from $5,000 to over $100,000. Key cost components include:

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• Market Research: $5,000 to $15,000 for analyzing market needs and competition.
• Launch Campaigns: $5,000 to $100,000 based on scope and platforms.
• User Acquisition Costs: Cost per install (CPI) ranges from $1.42 to $3.75, varying by advertising platform (e.g., Google Ads, Facebook Ads).

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Effective budgeting is essential for a successful launch and user engagement.

Business and Monetization Models of Healthcare Apps

Since healthcare thrives on digitalization, many people have at least one app on their devices. However, the competition for user attention takes high stakes. The question arises: How can we promote and monetize mhealth apps? 

Below, we have listed some of the most common business and monetization models:

Freemium Model

The freemium healthcare app offers a basic version and charges for premium features like advanced health evaluations. This model promotes rapid market penetration and attracts a large user base. In the long run, it drives sustainable revenue by converting a percentage of free users to paid tiers.

Subscription Plans

Subscription models work best for healthcare apps offering ongoing value. Tiered pricing can include basic tracking features, fitness coaching or telehealth services, access to a library of health articles, and premium telemedicine services with personalized health plans. Before enroll this model, ensure its pricing reflects the app's unique value proposition.

In-App Purchases

Even though it has a complicated deployment architecture, it is an incredibly lucrative way to monetize the app. In short, this model helps to upsell extra features or content within the app. Thus, users can purchase in-app items such as extra lives in games, extra workouts in fitness apps, or pre-paid visits and prescriptions in mhealth apps. 

Also, businesses often sell branded merchandise or partner with other brands via in-app purchases to promote themselves more.

Telemedicine Consultations

The pandemic marked the popular era of telemedicine. Now, many apps offer video consultations with subscription plans or pay-per-consultation fees. However, the healthcare specialists' credentials and licenses are the most important. They are the foundation of brand trust and revenue.

Advertising and Sponsorships

Healthcare apps monetize through strategic sponsorships and expert content. Targeted advertising creates win-win partnerships. It lets companies reach specific audiences and generate app revenue.

Partner with medical experts to create credible content, like articles and videos. This strategy will boost the app's credibility, expand its reach, and diversify revenue.

Pay-per-usage Model

The pay-per-usage model, common in SaaS, is now being implemented in healthcare apps. This cost-effective approach allows users to access healthcare resources and pay only for their actual usage, avoiding the commitment of a subscription. Which often results in user trust and brand loyalty.

These models can be mixed and matched depending on the target audience and specific functionalities of the healthcare app. However, first things first,  robust business and monetization require a consistent content publishing strategy and tools to publish high-quality medical content regularly.

Healthcare App Development in a Nutshell

Indeed, healthcare apps are transforming digital health with more accessible and intuitive tools. From telemedicine and health trackers, the healthcare app development cost varies by type, scope, team, and overall business aim. 

But the truth is one. Building a successful mobile health app requires strategic planning, research, and expertise in medical software development combined with a significant investment. This is especially true since medical app development costs go beyond initial creation, including planning, regulatory compliance, and ongoing maintenance.

Effective apps demand resource management and collaboration with experienced teams. A smart approach can help businesses develop impactful solutions that benefit both patients and healthcare providers. 

Partnering with Darly Solutions enables companies to create healthcare apps that meet technical standards while delivering real value in digital health.

Build Your Healthcare Application With Darly Solutions

From market analysis to launch, Darly Solutions uses a strategic 5-step process to build high-quality healthcare mobile apps tailored to your audience. Follow us:

1. Market & User Analysis: We help you understand your target audience (patients, doctors, etc.) and analyze existing apps to identify opportunities.
2. Planning & Business Analysis: We collaborate with you to define the app's concept, business goals, technology, and resources, ensuring alignment with your strategy.
3. Design & Prototyping: We design user-friendly interfaces and develop prototypes to validate requirements and gather feedback.
4. Development & Testing: Using Agile methodology, we build and rigorously test the app in iterative sprints.
5. Release & Support: We handle app store publication system integration and provide ongoing maintenance and support.

For now, don't settle for less. Darly Solution is here to help! Reach out today to discuss your project in detail.

The implementation of artificial intelligence (AI) and machine learning (ML) has the potential to turn the healthcare industry upside down. And this global transformation is already beginning. Innovative technologies are being used in diagnostics and treatment. They are influencing pharmaceuticals, research work, and other aspects of medical practice.

Analysts at Global Market Insights have calculated that the AI market in healthcare is valued at $18.7 billion. However, by 2032, the situation will change. According to forecasts, its size will exceed $317 billion.

Considering this trend, we find it appropriate to explore the prospects that AI and the technologies based on it offer to medical professionals worldwide. We will also focus on the near future of AI-based medical solutions and discuss examples of digital products that are already available to specialists.

What Are Machine Learning Healthcare Projects?

Machine learning projects in the medical field involve the use of ML algorithms and models to perform various tasks for healthcare workers. These include:

• data collection and analysis;
• predicting the condition of patients and treatment outcomes;
• making decisions about the appropriateness of certain prescriptions, and more.

The effectiveness of using AI and ML in healthcare is confirmed by numerous specialized studies. Below are some examples:

• The Houston Method Research Institute used an AI-based tool for diagnostic purposes. Specifically, it was used to detect malignant breast tumors. The results shocked scientists. The system demonstrated a disease detection accuracy approaching 99%. Moreover, AI was able to analyze mammograms 30 times faster than humans.

• The Nationwide Korean Cohort Study focused on researching the effectiveness of predicting infectious disease outcomes using machine learning. The results showed that the accuracy of the applied ML model was over 90%.

• Scientists from Indiana University and Purdue University in Indianapolis developed an ML-powered system to predict the outcome of acute myeloid leukemia. The results of the model's tests demonstrated that it could predict remission with 100% accuracy. The likelihood of recurrence was correctly identified in 90% of cases.

• Researchers at BMJ Health & Care Informatics developed and tested a machine learning model for detecting NASH (non-alcoholic steatohepatitis). This disease is difficult to diagnose. However, the use of ML contributes to more accurate screening of NASH and allows for the timely application of effective treatments.

All of these statistics confirm the vast potential of machine learning in healthcare projects. So, what is this technology most often used for?

Popular Use Cases of AI Projects in Healthcare

According to Morgan Stanley Research, 94% of respondents (medical companies) reported using AI or ML in their practice.

Let’s take a look at which aspects of healthcare these technologies can optimize.

1. Pathology Detection

Machine learning models can be used to analyze various types of images. The goal is to recognize pathological conditions.

For example, they can be used to diagnose cancer, tuberculosis, and other infections.

How does this work in practice? Here are several examples of using ML in the field of pathology detection:

• A machine learning-based program analyzes tissue samples and helps identify malignant growths.
• ML algorithms recognize tuberculosis by examining sputum samples from an infected person.
• ML-based systems help differentiate between benign and malignant tumors.

An example of such software is AIM-PD-L1: an AI and ML-based tool that detects PD-L1. This protein is formed as a result of cancer cell development. Research on this solution showed that its results closely align with human diagnostics. Thus, the tool can be useful in identifying pathology.

Another solution from the same developer, PathAI, is the PathExplore panel for histopathological features. It can analyze tissue images at the pixel level. This allows it to examine millions of cells and accurately identify malignant ones.

2. Medical Imaging and Diagnostics

Healthcare machine-learning projects often use innovative technologies to analyze various images. These include CT scans, MRIs, mammograms, X-rays, and more.

Here’s how machine learning models can be used in diagnostics based on visual data:

• An ML-based system can analyze CT scan results and, with a high degree of accuracy, identify malignant tumors.
• Similarly, such platforms can diagnose ischemic strokes, such as hemorrhage, based on brain MRIs.
• Specialized ML-based tools allow for retina scans. This helps in the early detection of blindness due to diabetes, specifically diabetic retinopathy.

There are many similar solutions available on the market. Among them are Viz.ai and InnerEye.

The first, Viz.ai, is a care coordination system based on AI. It allows for automate detection of many diseases, including vascular pathologies.

The second, InnerEye,  is a solution from Microsoft that significantly speeds up work with patient images. For example, with this platform, doctors can accurately differentiate between healthy and cancerous cells. It also accelerates the start of treatment by 13 times.

3. Personalized Medicine

Each patient is unique due to the following characteristics:

• genetic predisposition;
• medical history;
• lifestyle;
• comorbid health issues, and more.

Machine learning-based platforms are able to take all these factors into account when selecting treatment methods.

Here’s how this can work in practice:

• ML models analyze genomic data and recommend individualized treatment methods for oncological diseases.
• Thanks to predictive analytics, AI-based tools can adjust insulin dosage. This is possible through constant monitoring of its level in the patient.
• Machine learning algorithms help choose the optimal antidepressant based on the patient's psychological state and genetic predispositions.

As an example, let's look at IBM Watson for Oncology. This is a machine learning-based system that considers many factors when recommending cancer treatments. These include the compatibility of prescribed medications, possible side effects, and the effectiveness of treatment in each specific case. As a result, the system provides healthcare professionals with several therapy options from which they can choose the most optimal.

4. Drug Discovery Process

The use of ML can accelerate the invention of new pharmaceuticals. Specialized systems show excellent results in discovering the medicinal properties of various substances. They can also analyze the interactions of drug components and optimize clinical trials.

AI in healthcare projects can be used for this purpose as follows:

• ML models accelerate the search for antibiotics and antiviral drugs.
• AI-based modeling helps reduce the number of failed clinical trials, thus saving time and resources.
• Machine learning algorithms can analyze the structure of substances, assisting in the development of new drugs.

A notable example of using AI and ML in creating new drugs is AlphaFold by DeepMind. This tool is designed to determine the structure of proteins, which are the foundation of biological processes in every living organism. Currently, the platform is successfully used for:

• fighting malaria;
• searching for a treatment for Parkinson's disease;
• counteracting bacteria resistant to existing drugs.

5. Epidemic Prediction

One of the capabilities of ML models is analyzing patterns and making predictions about outbreaks of various diseases.

Here are some examples of using ML-powered solutions:

• Such systems can predict global pandemics. To do this, they analyze data on population movement and disease statistics.
• ML algorithms track seasonal disease spikes, such as the flu.
• “Smart” platforms can predict outbreaks of specific diseases in high-risk areas. For example, they can forecast cases of malaria or dengue fever.

EPIWATCH is one of the leading examples of such platforms. This tool uses artificial intelligence to predict epidemics that could reach a global scale. The system collects and processes extensive infectious disease data in real time. It has proven effective in providing early warnings about potential pandemics.

6. Remote Patient Monitoring

In recent years, IoT (Internet of Things) devices have become widely used in medicine. These are objects equipped with sensors that can collect and transmit data wirelessly without human intervention.

According to Yahoo!Finance, the IoT market in healthcare, was valued at $58.8 billion in 2024, and by 2032, it is expected to exceed $305.5 billion.

This situation is explained by the fact that AI and ML enhance the efficiency of wearable devices and health monitoring systems in general.

The use of ML in remote monitoring includes the following cases:

• Smartwatches can track irregular heart rhythms and detect instances of sleep apnea.
• ML models can analyze ECG data in real time. Based on the obtained data, they can predict a heart attack.
• AI-based inhalers can track the patient’s readings and warn about an asthma attack.

There are many such solutions on the market. These include popular devices like the Apple Watch and Fitbit. These smart bracelets can monitor heart rhythms and detect uncontrolled breathing stops.

There are also more complex systems available to healthcare professionals. For example, SafeBeing from Somatix. Thanks to wearable devices, this platform responds to patient gestures and draws conclusions about their health condition.

7. Virtual Assistants

Not everyone can visit a medical facility in a timely manner. Moreover, many people need assistance and support after being discharged from the hospital. AI handles these challenges effectively. Developers are actively creating digital assistants with integrated ML algorithms. These assistants are capable of providing first-aid and consulting patients after treatment.

What can such tools do?

• These platforms help assess health status independently and suggest possible diseases.
• Smart chatbots help schedule doctor visits, remind patients to take medications, and more.
• Virtual assistants help monitor the progress of chronic diseases.

There are many such solutions available to patients. Let’s look at the features of Ada Health as an example. This platform helps assess symptoms and provide preliminary diagnoses using machine learning algorithms. It can:

• track changes in the body over time;
• provide recommendations regarding treatment and a healthy lifestyle.

8. Psychiatric Assistance

ML algorithms help diagnose and treat various psychiatric disorders, including those used in the fight against depression and anxiety.

Practical examples of ML usage in psychiatry:

• Intelligent chatbots can mimic real-world conversations. They can answer patients' questions and provide recommendations.
• ML models can analyze user behavior on social media and detect suicidal tendencies.
• These digital solutions can analyze human speech and identify early signs of Alzheimer’s disease.

Woebot is a smart chatbot that helps people with mental health disorders. It can assess a user’s mood and emotions. Among its functions are conducting conversations with patients and providing personalized strategies for coping with difficulties.

9. Robotic Surgery

Just imagine. Surgeons no longer need to be in the operating room. All procedures are performed by a robot. Sounds like a scene from a sci-fi movie? Nevertheless, this is our reality. Developers have already created robotic systems based on AI that enhance the accuracy of surgical interventions and reduce rehabilitation time.

What can such software do?

• Smart surgical systems can perform minimally invasive surgeries.
• AI-based software shows excellent results in neurosurgery and orthopedics.
• ML models predict potential surgical risks and possible complications.

Here, we cannot fail to mention the famous Da Vinci surgical robot created by Intuitive Surgical. This robotic system offers medical professionals incredible possibilities in the field of minimally invasive surgery. Its features include fluorescence visualization, integrated table movement, a vision cart, and more. This allows for precise and effective surgical interventions.

10. Automation of Administrative Tasks

Routine tasks such as organizing document flow or billing require a lot of time, diverting medical staff from their primary duties — treating patients. The implementation of machine learning-based software allows automation of these processes, reducing the time spent by medical personnel.

AI-powered systems are handling numerous administrative tasks:

• Platforms based on NLP can extract data from medical records and update patient electronic charts.
• ML algorithms analyze insurance cases, minimizing fraudulent claims.
• Smart scheduling systems efficiently manage hospital resources.

An example of such software is the Optum system. It offers numerous solutions for the healthcare business, including a platform for Revenue Cycle Management. Its capabilities include billing, increasing revenue efficiency, medical coding, and documentation.

Benefits of Machine Learning for Healthcare Analytics Projects

The use of ML models in healthcare allows for the analysis of large amounts of medical data. Furthermore, such models are continuously trained and improved. The implementation of tools based on these models brings a number of benefits to both medical professionals and patients:

Early Disease Diagnosis

Identifying serious diseases at early stages reduces mortality, improves the quality of life for patients, and increases the likelihood of full recovery or sustained remission. For medical institutions, this helps reduce their expenses and saves time.

ML models excel at early diagnosis. They analyze medical images, test results, and patient medical histories. They then track patterns and detect even the slightest deviations from the norm.

Improvement in Patient Care Quality

This is facilitated by AI-based digital solutions for personalized care, virtual assistants, and chatbots. They help maintain a person's health outside of the hospital, for instance, after discharge or before visiting a specialist.

At the same time, such platforms help reduce the workload on medical institutions. They can provide the patient with an initial consultation and allow medical professionals to remotely monitor the patient's condition.

Development of the Pharmaceutical Industry

Innovative technologies allow for faster development of new medications. This is a step toward effectively combating various diseases. This is particularly relevant during global epidemics. 

Cost Reduction

ML automates many processes in healthcare, from documentation management in clinics to diagnostics and treatment prescriptions. Additionally, the use of smart technologies helps reduce human errors and allows for some patients to switch to home care. As a result, medical institutions can increase the number of patients served and their profits.

Improvement in Treatment Effectiveness

In medicine, predictive models are used, which are trained on large sets of historical patient data. Such models can predict:

• the likelihood of recurrence;
• the need for hospitalization;
• the tendency for the disease to progress.

Medical professionals can use all this data to adjust the prescribed treatment to improve its effectiveness.

Key Challenges in Healthcare Machine Learning Projects

The implementation of machine learning in healthcare projects opens up many opportunities for the industry. We have already seen this today. However, alongside numerous advantages, some challenges may arise for innovators.

Security of Confidential Data

The digitalization of healthcare has led to a particularly sharp issue. We mean the preservation of medical confidentiality and the privacy of patient data. The use of virtual tools implies entering personal information into the system, which increases the risk of data leakage.

To mitigate these risks, maximum anonymity should be maintained. For example, financial and insurance data, as well as the patient's address, should not be included. It is also important to implement reliable data encryption methods and threat notification mechanisms on the platforms.

Quality of Data for Model Training

The effectiveness of ML models depends on the data input into the system. Inaccurate input data can lead to incorrect diagnoses, wrong treatments, and even death.

To prevent this problem, machine learning software should be used under the supervision of highly qualified medical staff.

Skepticism of Healthcare Professionals and Patients

Since machine learning projects in the medical field are still in the early stages of gaining ground, many doctors and patients are not fully confident in its capabilities. The main concerns include inaccurate diagnostics and the complete replacement of human involvement in medical practice.

To build trust, continuous training for healthcare professionals and patients is necessary. It is also important to notify people about the chosen treatment methods.

As for the complete replacement of human labor, this is highly questionable. Scientists believe that innovative technology will, in fact, expand the role of healthcare professionals. Their duties will include overseeing the operation of ML models and interpreting their results.

Difficulty of Integration with Existing Software

To ensure the smooth operation of medical institutions, new software products need to be seamlessly integrated into the existing infrastructure. The task becomes more complex because clinics may be using outdated systems that are not compatible with new technologies.

To solve this problem, investment in qualified IT personnel and gradual replacement of old software with new ones is necessary.

Technologies Used in Machine Learning Projects in Healthcare

Such high efficiency in AI projects in healthcare is achieved thanks to the wide range of technologies used in specialized software. Let's look at the main ones.

Computer Vision

This is the ability of a machine to understand and interpret visual information from the external world. In healthcare, it is used for analyzing medical images for subsequent diagnosis and treatment.

Examples of use:

• detection of tumors in X-rays, CT scans, or MRIs;
• analysis of biopsy results to identify malignant formations.

Robotic Process Automation (RPA)

This involves using bots (software robots) to perform repetitive tasks. In medicine, this technology is applied to automate administrative processes.

Examples of use:

• processing insurance claims;
• billing;
• inputting data into electronic patient records.

Logistic Regression

This is a statistical machine learning algorithm that is effective for predicting the probability of disease and classifying ailments.

Examples of use:

• assessing the risk of developing diabetes;
• determining the likelihood of cardiovascular diseases.

Support Vector Machines (SVM)

This is a supervised machine learning algorithm that is best suited for classification, i.e., separating data into different categories. It is used in medicine for diagnostic purposes.

Examples of use:

• differentiating between benign and malignant tumor cells based on biopsy data;
• classifying genes to identify genetic disorders.

Natural Language Processing (NLP)

This is a field of artificial intelligence that enables computers to understand, interpret, and generate human language. It is used to process medical text, such as doctor’s notes or specialized literature.

Examples of use:

• analyzing electronic medical records to extract patient data;
• virtual assistants and chatbots to assist patients outside medical facilities.

Large Language Models (LLM)

These are a specific type of machine learning models trained on large datasets. Their capabilities include understanding and generating human-like language.

Examples of use:

• answering complex medical questions;
• automating clinical documentation.

Deep Learning (DL)

A subset of machine learning that uses neural networks with multiple layers to perform tasks. It is applicable for image recognition and speech processing. It is widely used in medical imaging, as well as in fields such as genomics and pharmaceuticals.

Examples of use:

• developing new medications;
• diagnosing diseases based on visual data.

Reinforcement Learning (RL)

A type of machine learning where an agent learns by interacting with its environment, in other words, through trial and error. This technology helps optimize the effectiveness of treatment strategies.

Examples of use:

• robotic surgical systems;
• personalized treatment for various diseases.

The powerful potential of AI-based technologies suggests that the future of healthcare lies in them.

Future Trends in AI and Machine Learning in Healthcare Projects

It is predicted that in the coming years, AI and machine learning will continue to strengthen their position in healthcare. This is facilitated by:

• better awareness of these technologies among doctors and patients;
• an increase in the number of developers capable of creating and integrating innovative systems;
• a growing demand for skilled healthcare services and medications.

What can we expect in the near future?

Transformation of Primary Healthcare

AI and machine learning systems will take on more responsibility during a patient's initial visit to the doctor. They will classify patients based on their risk level, using examination results. Patients with a low probability of illness will be notified immediately. Those with a high risk will be referred to specialists.

This will reduce the waiting time for referrals and ease the burden on specialists.

Improvement of Healthcare Accessibility

According to the International Labour Organization, 56% of people living in rural areas have no access to healthcare. In cities, the situation is better but still concerning, with 22% of the population unable to access medical services.

AI and machine learning have the potential to fundamentally change this situation. This will be possible through telemedicine and mobile health services.

Focus on Data Security

AI system developers understand the importance of ensuring data security in healthcare. The HIPAA Journal states that in 2023, over 133 million medical records were exposed due to data breaches. This means the problem is becoming global in scale.

As a result, IT specialists will work on enhancing the reliability of the security measures being implemented.

Progress in Early Disease Detection

Modern intelligent software is capable of recognizing symptoms at the very early stages of disease development. However, in the near future, AI capabilities will go even further. The first steps in this direction are already being taken. An example is the Sybil tool developed by scientists from the Massachusetts Institute of Technology. It can predict the development of lung cancer within a year with 94% accuracy.

This is a huge breakthrough in healthcare. It has the potential to save millions of lives.

Emphasis on Personalized Treatment Plans

Doctors will increasingly move away from general prescriptions that do not account for the specific characteristics of individual patients. AI systems will be used to analyze medical histories, genetics, and other factors. Based on this analysis, personalized treatment methods will be selected.

This approach is particularly relevant for treating complex diseases such as cancer.

Darly Solutions Case Studies

Finally, we would like to share the experience of the Darly Solutions team. Our custom healthcare software development company has implemented many successful AI-powered projects for healthcare.

A company approached us with concerns about patient safety during the diagnosis of infectious diseases. They decided to rely on AI and machine learning for the accuracy and safety of their research.

The Darly Solutions development team created a platform for the client that can achieve 99.9% accuracy in clinical diagnostics. To achieve such impressive results, we used the following technology stack:

• Python for machine learning and data analytics;
• JavaScript and React for creating an intuitive user interface;
• WordPress for backend development.

We successfully implemented predictive tools, high-quality data visualization, and a user-centered UI/UX design in the diagnostic solution. As a result of our collaboration, the client’s goals were met. The company received a flexible, scalable, and highly efficient system.

Conclusion

It can be confidently stated that machine learning projects in the medical field are the future of global healthcare. Intelligent solutions have the potential to revolutionize disease diagnosis and treatment, patient care, and drug development.

Do you want to follow the latest trends and provide the highest quality services? Now is the perfect time to find an expert team to develop an AI and machine learning-based medical application.

The Darly Solutions team is ready to assist you with this! Contact our manager to discuss the project details and receive a digital solution that will exceed all your expectations.

With the global aging population and the rise of chronic diseases, the remote patient monitoring market is booming as ever. From 2023 to 2024, it grew from $30.97B to $36.31B. And it won't stop here. Insider Intelligence predicts 70.6M US patients will use software for remote patient monitoring by 2025. 

We can't overstate the importance of remote patient monitoring software. Such apps improve access to care, reduce hospital readmissions, and help save up to 60% on hospital visits, which results in higher-quality treatment in the comfort of patients' homes. 

And benefits don't end up here. With ongoing digitalization via IoT and modernization of the healthcare system, don't wait for the best time for remote patient monitoring software development. The best time is now. 

We've detailed remote patient monitoring apps below and covered their benefits, architecture, and top examples. You'll also see how Darly Solutions crafted an app for the health tech company. Read on, and stay tuned.

RPM monitoring software — is a digital tool for wearables, mobile apps, and medical devices that collects, analyzes, and shares patient data with medical personnel. Heart rate, blood sugar, and oxygen levels are among the most vital metrics. RPM software scores help catch health issues early, manage chronic conditions, and aid post-operative recovery.

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How remote patient monitoring software works

From heart rate to blood glucose, each RPM system is designed to monitor a specific aspect of the body. However, elements included in any remote patient monitoring software development are typically the same. This is how the RPM system works:

• Collects and exchanges data.
  Once calibrated, the devices send the data from the patient to the provider. The devices must have a Wi-Fi or LTE adapter for successful transfer. The data can also be sent via Bluetooth to IoT mobile apps via RPM devices.
• Centralizes storage.

The provider securely stores the data collected from various sources, including patient devices, analytics systems, and e-medicine.

• Analyze.
  The data is processed using advanced AI for management and analytics. Alerts are sent to caregivers, providers, and patients as needed, per their preferences.
• Broadcasts.

Remote monitoring systems become telemedicine platforms when integrated with communication features like video conferencing, simplifying doctor-patient interaction.

• Sends emergency notifications.
  When doctors identify health issues requiring daily monitoring, they oversee the data collected by the RPM system. Notably, it can notify emergency services if a patient needs urgent care. For non-urgent cases, patients can receive instructions for the next steps. However, HIPAA and similar regulations may restrict including sensitive patient information in certain notifications to protect privacy.

Why build remote patient monitoring software? Key advantages

Nevertheless, the RPM is part of the broader automation revolution; it has universal healthcare benefits overall. Let's examine the main of them:

Better access to health services

With remote patient monitoring software, medical services have no geographical boundaries. Patients can get timely medical attention at home and manage their health, fostering a greater sense of control under health conditions.

Improved patient outcomes

A study found that RPM cut hospital admissions for chronic care complications by 19% to 41%, which results in improved patient outcomes.

Cost-effective care with reduced readmissions

The average cost of hospital readmission is about $15,200, which makes the prevention of readmissions through remote patient monitoring software financially beneficial for both patients and providers. Even more, it is a well-established fact that early detection generally translates to lower healthcare costs.

Better client engagement and satisfaction

Over 94% of patients are satisfied with RPM's care. It sparks their curiosity about their health and boosts engagement. Such an increased sense of involvement often inspires commitment to treatment plans.

Early detection and timely intervention

The CDC reports that RPM can cut chronic disease complications by 40%. This highlights the need for swift intervention to reduce health risks.

Components of remote patient monitoring software

There is no one-fit RPM soft, as it differs in nature. However, each patient monitoring system generally has 3 to 5 basic components. Let’s delve into them: 

Personal monitoring devices

From continuous glucose and heart rate monitors to blood pressure cuffs, digital scales, and peak flow meters. 

Patient-side mobile applications

Prioritize user experience, making it easy for patients to access their health data. Additionally, they offer features like medication reminders and secure chats with healthcare providers.

Cloud database

Cloud repositories allow healthcare providers to store large patient data securely. They are scalable and accessible, adapting to growing datasets for long-term monitoring.

Hospital-side web app

These applications are part of hospital management software. They ensure compliance, enable integration, and support decision-making. Additionally, they offer reporting, notifications, and analytics to improve patient care.

Other modules

These comprise decision support systems, reporting tools, notification systems, and analytics platforms.

Essential features in remote patient monitoring solutions

Here are the essential features of a remote patient monitoring (RPM) solution:

Real-time tracking of patient vital signs

Wearable sensors, fitness trackers, blood pressure monitors, and glucose meters perfectly gather and handle real-time health metrics. Then, this data is sent to healthcare providers and added to Electronic Health Records (EHRs) for timely interventions and informed decisions preventing complications.

Intuitive interfaces and user-friendly features

Machines must be easy to set up, a breeze to wear, and simple to operate. Meanwhile, patients should access their data effortlessly through a smooth web or mobile app to track their progress. This connection allows seamless communication with healthcare providers, ensuring everyone's on the same page.

Accessibility features

Ultimately, create a system with all users in mind. Consider accessibility guidelines like WCAG and CVAA to pave the way for inclusive innovation. Encompass voice control for effortless data entry, navigation, and text-to-speech features to support people with dyslexia and other disabilities. Moreover, a patient-first design shines with screen reader compatibility, high-contrast modes, and a crystal-clear interface.

Personalized risk alerts and reminders

For swift and customizable alerts, the RPM system must adjust thresholds. For example, alerts can be sent when vital signs fall outside preset limits. This enables timely intervention to reduce the risk of adverse events.

Safe data transmission and storage

Patient data security is a top priority in remote patient monitoring software development. Thus, apps must comply with all regulations like HIPAA, as they protect the privacy and security of patient data and save from hefty fines.

Smooth EHR integration

EHR integration allows the automatic transfer of RPM data, giving healthcare providers access to complete patient histories for better decision-making and outcomes.

Reports and analysis of patient health data

Advanced analytics and reporting in remote patient monitoring software development provide valuable data insights for healthcare professionals (for data-driven decisions) and patients (to motivate healthier choices).

The architecture of a remote patient monitoring system

Remote health monitoring systems are designed with a multi-layered architecture. Basically, it has five core components that enable uninterrupted data flow within the system. Let’s break into the point of the whole structure:

Smart-connected sensors for health tracking

The sensor layer comprises remote monitoring devices such as EKGs, sleep trackers, smartwatches, and blood pressure monitors. Then, they transmit this data to the dedicated mobile app via Bluetooth or to the cloud via the Internet.

Patient interface

Patient-facing RPM apps collect real-time health data from connected medical devices, allowing manual entry of symptoms and medication intake. RPM apps often include data visualizations for tracking health trends and may have integrated telemedicine features, such as video conferencing for appointments, follow-ups, prescriptions, and virtual consultations.

Cloud RPM server

Cloud services form the core of RPM systems, providing secure storage, processing, and data analysis from devices and the RPM app. This engine also integrates with EHR systems to access patient health information (PHI) in FHIR format. It can identify trends, such as early signs of complications.

Medical staff dashboard

Patient data flows bidirectionally between the medical staff interface and the cloud RPM server, enabling effective management by care teams.

• Data visualization module.
  Via charts and graphs that show trends in vital signs, medication adherence, and other data, the module gives providers a 360-degree view of the patient. 
• Alert management module.
  The system promptly alerts clinicians to critical situations and device failures in real-time.
• Reporting module.
  The module generates custom reports on patient data, which hugely help track progress and gain insights over time.
• Communication module.
  This module has two-way messaging, video chat, and/or telephony integration and is made for secure, remote communication between clinicians and patients.
• Appointment management module. 

This module handles appointment scheduling and patient-provider communication, allowing both patients and providers to request appointments.

Depending on the organization's needs, a doctor-facing RPM interface can include other modules, such as patient management, care plans, and patient education.

Admin web panel

A key part of the RPM architecture is a control dashboard. It helps with admin tasks like configuring roles, managing patients, and setting alarms.

Remote patient monitoring software development: Key steps

Once you have a clear idea for your software product, find an experienced dev company to implement it. When contacting your tech partner, you don't need detailed software requirements. A high-level understanding of the functionalities is enough to get started for any custom healthcare software development services stages. Let’s break them down:

Step 1: Requirement collection and analysis 

The process starts by refining your product vision. Then, define project goals based on the health conditions your RPM solution will address. Your team will then identify core functions, pick the best tech stack, and plan the app's architecture. If integration with systems like EHRs is required, your tech partner will ensure compatibility.

Step 2: Outlining security and compliance requirements

Remote patient monitoring software must follow HIPAA and FDA rules. The development team implements audit trails, encryption, secure cloud storage, and APIs for secure communication to ensure data security and privacy. They also define a testing strategy for the pre- and post-production phases.

Step 3: Prototyping and design

To create an intuitive, user-first staff interface, UX/UI teams conduct user research to define user personas and journeys. Based on this research, designers create a prototype reflecting both the initial vision and user needs, gathering feedback on the user experience. The team prioritizes a clean, engaging, and accessible design. Based on feedback, they will refine the prototype and send the final designs to the dev team.

Step 4: Development and integration

Tech experts will use best practices to develop your RPM system iteratively to meet regulatory compliance. This work may include front and backend components, patient and doctor apps, and integration of medical devices.

Step 5: Testing

When it comes to RPM development — thorough software testing is as important as the development itself. After testing, developers should prioritize IoMT device compatibility. They must also ensure smooth integration with the RPM system for the most stability.

Step 6: Ongoing improvements 

After deployment, the dev team monitors and tunes the RPM system to meet business and tech needs. They provide training and support for patients and healthcare professionals.

Beyond monitoring and troubleshooting, your tech team will prepare a roadmap for software updates. This will enhance the system's features and security in the future.

RPM Software Deployment: Challenges and Practical Solutions

Let us explore the most notable challenges organizations encounter while deploying their RPM. 

Regulatory compliance

RPM's compliance with HIPAA and GDPR relies on strong data security and privacy. It must meet standards like ISO 27001 and IEC 62304 for this.

What to do:

• Develop a comprehensive compliance framework according to all requirements like HIPAA, GDPR, FTC (Federal Trade Commission), FDA regulations, and more.
• Conduct regular audits and assessments outlining clear policies and protocols for staff.
• Provide ongoing staff training to ensure they are aware of their responsibilities.

Data security and privacy

Healthcare organizations handle sensitive patient data (vitals, medical history, personal details, reports, treatment plans). Unauthorized access poses the risk of data breaches and subsequent fines that could total millions of dollars.

What to do:

• Use encryption techniques of RPM-collected data, telehealth appointment recordings, and other sensitive patient health data.
• Implement strong authentication and role-based access.
• Regular audits and security assessments.
• Conduct employee and patient training.
• Adopt role-based access control (RBAC)

Technology integration and compatibility

Outdated systems may lack compatibility, hindering integration and impacting data accuracy and security. Integrating EHR and clinical systems can also be difficult, affecting data sharing and patient care. Ensuring interoperability for seamless data exchange adds another layer of complexity.

What to do:

• Assess current infrastructure compatibility.
• Follow interoperability standards and protocols.
• Adopt HL7 and FHIR standards.

Cost-benefit analysis

RPM implementation presents a cost-benefit challenge for healthcare organizations. While offering benefits like improved outcomes and enhanced care, the substantial upfront investment in hardware, software, infrastructure, licensing, staff training, regulatory compliance, and data security must be carefully weighed.

What to do:

• Conduct thorough cost assessments.
• Estimate ROI and potential cost savings.
• Strategically allocate resources.

Data precision and accuracy

Inaccurate data transmission from RPM devices (e.g., wearables) poses a significant challenge, potentially leading to misdiagnosis and compromised treatment. Several factors can affect data accuracy, including device calibration, signal interference, network issues, and device quality.

What to do:

• Choose quality sensors and wearables.
• Regularly calibrate devices.
• Implement quality assurance measures.

Lack of patient engagement

Some patients fear switching to modern healthcare and its tech just because they are used to in-person hospital visits. Thus, using the devices, checking vital signs, and messaging the doctor may be hard for the patients. 

What to do:

• Prioritize a user-friendly interface.
• Craft tutorials for device usage and RPM data analytics interpretation.
• Incorporate gamification elements (e.g., badges, progress tracking) to incentivize engagement.
• Bridge language barriers for diverse patient populations by providing support in multiple languages.

RPM software development cost

The cost of developing Remote Patient Monitoring (RPM) software varies based on complexity, features, and the development team's location. Here’s a breakdown of the estimated costs associated with RPM software development:

• Basic RPM application ranges from $50K – $70K. 
• Standard RPM software ranges from $100K – $400K or higher, depending on the specific requirements and features.
• Costs can be $500K or more for advanced solutions with complex systems and integrations.

Both building an in-house tech team and outsourcing software development come with significant costs: salaries/recruitment expenses versus hourly rates and vendor fees. Without proper research, you risk overpaying for a software solution — whether through in-house hiring costs or outsourcing fees — or settling for a product that doesn't meet your requirements.

To calculate the precise budget for your RPM software development idea — please fill out this form. We will contact you shortly.

Best RPM software

Here are some popular remote patient monitoring use cases that might inspire you for your own:

CoachCare

CoachCare was founded over a decade ago, now supports over 3,000 organizations, and serves over 150,000 patients. Boasting a remarkable RPM, it claims a success rate exceeding 95%. It advocates for RPM coverage and collaborates with groups like CMS and AMA. CoachCare's tech lets patients log vital health metrics via an app. Its simplicity boosts engagement. Experts recognize its support of the healthcare industry.

Healee

Healee is a health tech company founded in 2017, now handles over 700,000 visits per month, both onsite and virtual, and supports 5,000 physicians across 200 clinics. With EHR, e-prescription, and billing integrations, the Healee platform streamlines healthcare delivery in wellness, mental health, chronic care, and women's health.

Doctolib

Founded in Paris in 2013, Doctolib is a top healthcare booking platform. It serves over 400,000 providers and 50 million users. It handles 70 million monthly bookings in France, Germany, and Italy. It offers appointment scheduling, telemedicine, and patient messaging. These services reduce missed appointments by 60% and save doctors 1.5 hours per week on administrative tasks.

Senseonics

This company revolutionizes blood glucose monitoring. The system features a sleek, removable transmitter and a sensor expertly implanted under the skin by a healthcare pro. Connected to a mobile app, the sensor offers real-time insights, alerting patients through their smartphones or smartwatches when their glucose levels are too high. Sharing data with healthcare providers and family members becomes a breeze, ensuring optimal treatment strategies.

Currently, around 6,000 users benefit from the Eversense CGM system. By 2025, Senseonics aims to double that number.

Teladoc

Established in 2006, this Hoboken, New Jersey-based powerhouse is revolutionizing healthcare. With an extensive network of licensed professionals, HRS proudly claims the #1 spot in KLAS’ ‘Top Remote Patient Monitoring Companies’ from 2020 to 2023.

HRS offers its innovative PatientConnect platform, featuring over 90 tailored RPM plans for healthcare providers. Beyond monitoring, HRS embraces holistic care, providing behavioral health services like therapy and psychiatry, ensuring a comprehensive touch on every aspect of patient wellbeing.

Improving patient outcomes with RPM software: A case by Darly Solutions

In particular, the health tech company approached us about remote patient monitoring software development. They faced challenges with patient tech literacy, especially among the elderly. There was a risk of data overload for providers. Patient engagement was inconsistent. There was a need for system integration, like with EHRs. Plus, they had to ensure data privacy and security (HIPAA compliance).

Since the deadline was tight and there were a lot of high-precision requirements — we created a detailed plan for the project, assigned UX/UI design, web development, QA, and project management tasks, and pinpointed the tech stack.

Technology stack 

We understood that choosing the right technology stack was crucial for success. After thorough consideration, we selected:

• Angular: For building dynamic web applications.
• HTML/CSS: For structuring and formatting the user’s interface.
• Docker: To streamline deployment through containerization.
• ngRx: For effective state management.
• TailwindCSS: To enable rapid UI development.
• NGX Pagination: For efficient handling of large datasets.
• JSON: For smooth and efficient data transfer between client and server.

Our efforts paid off. We launched the product on time, meeting all design, functionality, and quality standards. Our client now has a competitive product that is well-placed to thrive in the innovative telemedicine sector.

Read the details of the case here.

Wrapping up

Rising public interest, health concerns, and tech advances drive the RPM market to new heights in solutions and revenue. As we noted earlier, these technologies enable 24/7 health monitoring. They also provide remote populations with access to quality treatments.

Doctors, nurses, and other healthcare staff should focus less on routine, manual tasks in the next few years. They should focus on saving lives and providing treatment, which RPM can support perfectly. It can greatly reduce burnout and ease stress on global healthcare systems while driving market share to higher results and stakeholder benefits.

This is a great time if you're considering developing your RPM solution.

In 2024 alone, the medical imaging software market size reached $8.11B. By 2029, it is projected to grow to $11.83B and up to 7.84% at a CAGR. This is a fairly predictable trend due to the development of AI. Especially since big data, cloud technologies, and other advancements are already significantly speeding up the accuracy of diagnostics. 

If you are considering custom development of medical image analysis software, now is the most favorable time. Below, we will reveal the specifics of creating such solutions and describe the requirements and the challenges you may face.

What is the definition of medical imaging software?

Medical imaging software — it's the digital tool doctors use to examine medical images. Think X-rays, MRI and CT scans, ultrasounds, PET, and other radiology scans. Basically, it helps to see the details of every complex illness and make informed decisions about patient care.

To maximize efficiency, medical imaging software integrates a range of advanced technologies. These include AI for anomaly detection, ML for image segmentation, and methods for filtering, contrast enhancement, and noise reduction to improve image quality. 

Also, 3D reconstruction technologies create volumetric models of organs and tissues. Developers also rely on the DICOM standard for medical images as it allows seamless transfer. They also use cloud tech to access data, integrated medical records, and VR and AR to visualize data and create interactive interfaces.

As a result, with medical image analysis software, healthcare organizations reduce the workload of their doctors and researchers and minimize the likelihood of misdiagnosis.

Examples of medical imaging software

To better grasp how these solutions work, we suggest you look at several medical imaging software examples that have gained worldwide recognition.

RadiAnt DICOM viewer

It is a high-performance medical imaging software that processes DICOM images. Due to its rich functionality, both doctors and researchers use it in their work. It has smart multimodality tools for 3D and 2D visualization and MPR (multiplanar reconstruction). Moreover, developers made the interface very user-friendly, so this software is also a great choice for users with low technical skills.

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OsiriX MD

Specifically designed for macOS, OsiriX MD is a powerful DICOM platform that meets the needs of radiologists. Its advanced capabilities support 3D and 4D image analysis, hybrid imaging with PET-CT and PET-MRI, and integration with PACS servers. Crucially, it is FDA- and CE-certified for clinical use.

Horos

Horos is a free OsiriX-based DICOM viewer available on macOS. It has rich customization options for analyzing volumetric data, such as 3D reconstruction, and is especially useful for students and researchers. 

GE Healthcare Centricity PACS

GE Healthcare Centricity PACS is a proprietary enterprise medical image analysis software that analyzes medical images. It has EHR and EMR integration, real-time collaboration, advanced AI analysis, DICOM standards, and format support. It can be a full-fledged assistant for doctors and researchers. 

Philips IntelliSpace Portal

Tailored for large clinical institutions, Philips IntelliSpace Portal excels in medical image analysis and visualization. It integrates AI-driven automation and tools for multiparametric imaging in cardiology, neurology, and oncology; this medical imaging software supports multi-user collaboration.

Key features of medical image processing software

This section explores the key functionalities typically found in standard medical imaging software.

Tools for viewing and processing medical images

Ensure your medical imaging software works with various input data (CT scans, MRI scans, X-rays, ultrasounds, and hybrid studies like PET-CT and PET-MRI). Usually, this is done by supporting the DICOM format. In addition, you will need tools to scale, rotate, and adjust image contrast. So, optionally, develop a panel for 3D and 4D visualization, including multiplanar reconstruction.

AI-driven image analysis 

AI is key in automating the detection of anomalies in medical scans. It can identify cancerous tumors, blood clots, and fractures early, with a high degree of independence. Also, AI in your medical imaging software can classify pathologies using trained models. It can segment organs and tissues on scans and analyze multiparametric data.

Diagnostic and treatment planning tools

This includes tools for creating 3D models, surgical planning, and evaluating the effectiveness of treatment. You should also consider integrating your medical imaging software with robotic surgical systems.

Medical data management tools

To implement effective medical data management, you will probably need to integrate your medical imaging software with PACS (for storing and transmitting data), EHRs (for centralized access to personal patient information), and cloud solutions (for unimpeded access to images from anywhere in the world where there is an Internet connection).

Collaboration tools

It's mainly for remote access so doctors and specialists can chat and comment on each other's actions. It also involves integrating telemedicine platforms to discuss complex cases and hold educational seminars.

What types of organizations need medical image analysis software development?

A wide range of organizations can benefit from medical image analysis software development. Now, let's find out which areas of healthcare benefit from medical imaging software the most.

• Cardiology.

In this field, medical imaging software is mostly used to analyze CT and MRI of the heart and angiography. In addition, it monitors treatment effectiveness, plans operations, and predicts cardiovascular disease risks.

• Dentistry.

Inevitable for 3D scanning when planning dental implants, diagnosing jaw diseases, visualizing root canals, etc.

• Oncology.
  Here, medical imaging software detects and classifies tumors, tracks their growth, and assesses treatment effectiveness.

• Neurology.

In this sector, medical image analysis software analyzes brain MRIs and CTs and provides 3D visualizations to assess the spine and nerves.

• Orthopedics.

Orthopedics studies thrive on precise X-ray analysis, which includes 3D joint modeling and spinal disease diagnostics.

• Mammology.

Medical imaging software can detect microcalcifications and early breast cancer through comparative analysis of changes in mammary gland tissue.

• Urology.

In this industry, medical imaging software helps diagnose kidney and bladder diseases. It does this by analyzing CT and ultrasound images. Additionally, the software can help plan operations and monitor patients with chronic diseases.

• Pulmonology.

Industry specialists can use such software to diagnose lung diseases, analyze chest CT data, and assess COVID-19 damage.

• Gynecology.

In most cases, medical image analysis software is used to perform pregnancy ultrasounds. It helps monitor the fetus, find pelvic tumors, and analyze the endometrium and other tissues.

• Traumatology and emergency medicine.

In traumatology, 3D medical imaging software can quickly diagnose fractures and internal injuries. It can also visualize organs for urgent decisions.

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Still, deciding on the right healthcare sector for your medical imaging project? Contact us and discuss the possibilities of its practical implementation with Darly Solutions' experienced developers.

Medical imaging software development: Steps to follow

Custom development must follow clearly defined stages that most teams use. But, it can still be approached in various ways. Below, we outline how healthcare software development services are delivered in our company.

Concept formation 

Start your medical imaging software project with market analysis. Define the target audience, prioritize tasks the software should solve, and research competitors (to identify their strengths and weaknesses). Based on the insights, our medical imaging software development team assesses the functional requirements and evaluates the need for specific technologies to handle image processing. This ensures that the chosen solutions align with the project's technical needs and optimize the processing of healthcare-related images.

Planning

Once we agree on the conditions with all stakeholders, we will write a technical specification for your medical imaging software. This document will describe its functionality, interface, API, security, and integration requirements. We will also approve the tech stack and necessary integrations. Finally, we create a roadmap that defines the milestones and deliverables for each medical imaging software development project stage.

Prototyping

Now that everything is ready, we can begin creating user stories. They include handling DICOM file uploads and 3D models, among other key tasks. For UX/UI best practices of safe data, we follow the WCAG 2.1 guidelines. They ensure accessibility for users with varying technical skills. We also test prototypes with focus groups to see feedback on complex features, which is helpful for future design improvement. Finally, after the edits are done, we develop a full-fledged design.

Coding

The frontend has algorithms to process and analyze medical images. The backend ensures secure data transfer between the medical imaging software and storage. It also encrypts data and protects against vulnerabilities like SQL injections. These involve writing database queries for smooth software interactions and data storage interactions. And last but not least — we also integrate with your healthcare org's existing systems and services (if any).

Testing

Once the code for your medical imaging software is ready and all components have passed unit tests, we run complete test cases. We check for load, functional, non-functional, security, and usability issues.

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Deployment

At this stage, we are choosing hosting for your medical imaging software (usually either cloud or local servers), setting up CI/CD, and training end users, for example, by providing them with documentation, training materials, or live courses. Once we've done it, we deploy the solution (first in the test environment and then — in the actual usage environment).

Support and updates

Finally, after the medical imaging software is deployed, we set up monitoring systems to track its performance and detect errors, fix post-release bugs, optimize it according to user feedback, and add new features if required.

Key tech specifications for medical imaging software development

Such software development can be complex, especially in its early stages. Basically, there is often no clear way to turn an abstract idea into actual requirements. 

So, let's examine all  the key tech specifications that are usually implemented in medical imaging software apps:

• Support for common medical image formats such as DICOM (including DICOM tags for metadata) and standards for storing, transmitting, and processing medical images (such as C-STORE, C-FIND, and C-MOVE).
• Compatibility with various devices (CT, MRI, ultrasound, etc.).
• Image processing can improve images by adjusting contrast brightness and applying filters. It can also segment them to highlight organs and tissues. Lastly, it can register them to compare scans over time.
• 2D and 3D visualization, including volume rendering (CT/MRI), support for iso-sections and reconstructions, and interactivity (e.g., rotation, zoom, and pan).
• Data security, including HIPAA and GDPR compliance, support for TLS (for data transfer) and AES-256 (for image and metadata storage) encryption standards, as well as access control with role-based authorization and two-factor authentication.
• PACS and EHR/EMR integration (e.g., via HL7/FHIR).
• Annotation (adding labels, arrows, and text comments) and providing real-time collaboration tools.
• PDF report generation and image export.
• Scalability (including horizontal scaling via the cloud), multi-threading, and hardware acceleration.
• WCAG 2.1 compliance and user interface customization.
• Logging and monitoring events (including loading, processing, and exporting scans), auditing user access, tracking system performance, and setting up failure notifications.
• Local deployment of software on physical servers (most likely, this will require ensuring compatibility with Linux and Windows OS).
• Setting up regular data backups and automatic recovery after system failures.

Of course, this is just a basic list of specifications. In practice, your project team will expand and refine the list of features while specifying the tools and technologies for the project's unique needs.

Medical imaging software development cost

When it comes to the development cost of medical image analysis software it depends on its complexity and the technologies used. Without data and business needs — it's hard to define the precise price, but on average, basic DICOM (Digital Imaging and Communications in Medicine) typically ranges from $30K to $300K. A customized version of Basic DICOM may cost $30K to $50K. Advanced customizations could cost $70K to $150K.

Implementation costs differ based on the size of the practice:

• Small practices typically cost $5K to $10K and take 1 to 2 weeks.
• Medium facilities cost $20K to $50K and take 1 to 3 months.
• Large enterprises may cost $100K to $200K and take 3 to 6 months.

Please complete this form to calculate the precise budget for your medical imaging software development idea. We will contact you shortly.

Challenges in medical imaging software development

Let's examine the main challenges encountered when developing medical imaging software.

• Regulatory compliance.
  Software handling sensitive data, like patient information, must comply with HIPAA, GDPR, FDA 21 CFR Part 11, and CE Marking regulations. Key security measures include code audits, RBAC, 2FA, and strong encryption (e.g., AES-256, TLS).
  To avoid fines, consult a local lawyer on medical standards.

• Integration with existing systems.
  Integrating PACS, EHRs, and other systems requires DICOM, HL7, and FHIR support. Also, medical organizations have very different established IT infrastructures, which makes it hard to unify their software. If you create a universal solution, you must provide some middleware. It will help users adapt to various services and systems.

• High performance and scalability.

Medical images, especially CT and MRI, are large. This can slow their processing and increase resource needs.
In this regard, you may need to implement lossless compression mechanisms for images and multithreading and parallel data processing algorithms. By the way, a common fix is to move your software to a cloud solution designed for healthcare businesses.

• The complexity of big data management.

Storing and processing massive data, like images and metadata, require a careful choice of databases and storage. In particular, this implies a preference for distributed databases and object storage.
For even greater reliability, do not forget to provide backup and auto-recovery.

• Risks associated with cyber attacks.

Cyber attacks that leak medical data are a serious problem for healthcare software. To solve it, you must implement constant monitoring. Also, set up regular security updates, including patches and OS updates.
Finally, train your staff on social engineering. It can reduce the risks of phishing attacks.
Providing a user-friendly interface.
Interfaces for doctors and medical personnel should be user-friendly and intuitive, requiring minimal technical training to operate efficiently. To achieve this goal, you must test hi-fi prototypes on the real target audience and perform subsequent optimizations. Also, do not forget to ensure your interface is created under the WCAG 2.1 guidelines.

The future of medical imaging software

Medical imaging software development will advance by adopting the newest technologies, process optimization, and increased integration with other medical systems. 

So, here are the core areas in which medical imaging software can be optimized:

• Speeding up diagnostic.
• Increasing image recognition accuracy.
• Costs reduction.
• Improving user experience.

This can be achieved through the implementation and development of the following technologies:

• Artificial intelligence and machine learning.

For highly accurate and automatic analysis of medical images and accelerated diagnostics.

• Cloud computing.

To provide quick access to medical images from anywhere in the world, process large amounts of data without the need to upgrade local infrastructure, and implement remote collaboration between healthcare specialists.

• VR/AR.

Medical imaging software development allows anatomy and pathologies to be studied using interactive 3D models and visualize the patient's anatomy before surgery.

• Quantum computing.

While most quantum computers are not yet available for widespread use, they will speed up processing large datasets and training neural networks for image recognition in a few years.

• Blockchain.

To guarantee the immutability and protection of data from medical imaging software while providing patients with comprehensive control over their medical information.

Our experience in medical imaging software development

This section covers the development of the PrismaORM brain scanner. This platform was crafted for chiropractors, neurologists, and neurosurgeons to monitor brain activity and brainwaves before, during, and after chiropractic treatments.

First, we assembled a team of eight experts to bring this vision to life. They worked closely with two external teams of medical imaging software engineers. We've pointed out a tech stack based on PostgreSQL, Typescript, React Native, Nest.js, Expo, Three.js, and SQLite. This tech of choice lets us build a platform that processes real-time data from brain activity helmets. The BLE protocol transmits this data. A tablet interface visualizes it. A key to the project's success was optimizing the user experience. This included better platform performance and integrating 3D models. 

As a result — we've made a powerful tool that empowers medical professionals to conduct more precise diagnostics and offer more effective treatment recommendations. 

For a detailed look at this project, visit our portfolio.

Wrapping up

Now that you understand the specifics of medical image analysis software development, you can begin searching for a team to bring your project to life. We are a reliable provider of custom healthtech solutions, ensuring a smooth, transparent, and predictable collaboration. Simply fill out the form, and we'll get in touch as soon as possible to discuss your medical imaging software project in detail.

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From long patient wait times to inefficient manual processes and risky paper records, the healthcare sector has faced numerous challenges historically. This has created a fertile ground for doctor appointment apps. According to Verified Market Reports, in 2023 alone, the market was valued at an estimated $318.49M, projecting a surge to $862.16 million by 2030 (15.29% CAGR). 

Given the growth of AI-based solutions in telemedicine tech and the modernization of the healthcare system, we can now highlight the importance of such solutions and dive deep into the specifics of healthcare appointment apps.

What is a doctor appointment system?

A doctor appointment application — is a digital solution that automates the registration of patients for an appointment with medical specialists. However, modern solutions imply more than just scheduling online appointments. They give patients useful information about a healthcare institution's services and specialists. Also, they connect patients with doctors and give access to their records in the comfort of their homes.

Why is this system gaining traction in the healthcare sector? Let’s break it down into factors:

• The widespread digitalization of the healthcare sector.
  Healthcare is moving beyond in-person consultations in the facility. Now, it includes remote consultations, app-based therapies, and remote health tracking for timely interventions.
• The development of modern technologies.
  Various mobile applications and the affordability of smartphones make this format of interaction with patients desired and preferable.
• Reducing the workload on administrators.
  To prevent personnel burnout, medical institutions can use healthcare scheduling software systems to reduce the number of routine tasks assigned to administrators and the number of errors associated with the human factor.
• Increased patient satisfaction.
  Transparent access to doctors' schedules and the ability to choose a suitable time — increase customer loyalty.
• Increased occupancy of doctors' schedules.
  With a doctor appointment system, healthcare organizations can minimize empty appointment slots since it will be easier for patients to choose the optimal date and time for a visit.

Key doctor appointment app features

Since the Apple App Store boasts approximately 35,019 healthcare and medical apps, among which are approximately 10 to 20 types of doctor appointment apps, features might hugely range from app to app. Let's examine the main features of the doctor appointment app.

Online appointment booking

The system should have filters for doctors by specialization, review patient feedback, and book appointment availability by date and time. Additionally, patients should be able to receive reminders for upcoming appointments (e.g., push notifications, email, or SMS).

Telemedicine

For routine follow-ups, an online medical appointment system is essential. It's not a choice but an inevitability. Both patients and healthcare providers save travel time and can schedule appointments just in the app via online consultations, video conferencing, or text chat.

Integration with EMR and billing system

Integration with electronic health records provides access to the patient's medical data directly from the application, allowing doctors to update and review these records directly from the platform. As for the billing system, the PCI DSS-compliant payment gateway will be the core element of the online payment process. In addition, it provides an option for generating bills and receipts.

Feedback and ratings

Usually, this is a window where patients can rate their experiences and write reviews for specific providers using a simple scoring system. For usability, this feature must remain unobtrusive within the app interface.

FAQ and educational materials sections

The app should include a FAQ section covering usage and privacy. It should also have an educational section with information about specialists, a map of the institution, and service costs.

Monetization strategies for doctor appointment apps

The ideal monetization strategy for a doctor appointment system depends on the target audience and the organization's business model. Let's look at the most popular types of monetization in this niche:

• Subscription-based.
  According to this model, after paying for a monthly or annual subscription, patients get access to advanced features, such as priority appointments or online consultations. 
• Pay-per-booking.
  This model involves charging a fixed fee or a percentage of the service's cost (usually 5-10%) for each appointment.
• Advertising.
  Based on this model, you can publish advertisements for medical services, pharmacies, insurance companies, and other partner organizations. This can be contextual advertising, static banners, or affiliate programs (for example, you can recommend pharmacies for buying drugs).
• Payments for telemedicine services.
  This approach to monetization involves charging a fee (either a percentage of the service cost or a fixed amount) for online consultations implemented within the application.
• Patient data monetization.
  This type of monetization involves selling anonymized patient data to global healthcare corporations. They can be used in the future for both clinical research and to improve the quality of services of partner organizations (for example, insurance companies, laboratories, etc.).
• White-label solution.
  Finally, you can develop a customizable solution and sell it to other companies under their brand. In this case, you must provide a settings panel where each organization can set individual configurations.

Benefits of doctor appointment booking app development

To understand the benefits of the doctor appointment booking system, we first need to figure out the main pain points such software can solve. Previously, we’ve mentioned some, but for the sake of completeness, let's consider each of them:

• Simplification of the procedure for making an appointment with a doctor.
  Earlier, patients had to call the clinic, wait for the admin to answer, and adjust to the schedule. With the app, they can choose the best time and date within a few moments on their smartphone.
• Drop in missed sessions and treatment gaps.

With appointment alerts or medication reminders, patients won’t forget about upcoming visits to the doctor and taking medications, which ultimately saves the clinic's resources.

• Transparency of pricing.
  Some patients find it difficult to understand the cost of the services; in turn, with the application, they will have access to all the price information before making an appointment.
• Comprehensive information about doctors and services.

To prevent patients from choosing doctors blindly, the application can offer them a convenient rating system, reviews, and descriptions of services; thanks to this, they will make a more conscious decision about choosing a particular doctor/service.

• Minimization of paperwork.
  Without a doctor appointment application at hand, medical personnel often had to work with paper journals. An app that integrates with the CRM, EHR, and other software will reduce reliance on paper docs.
• Higher revenue.
  You can sell additional services through the application; moreover, its convenience and transparency increase the likelihood of repeat visits.
• Reduced need for human resources.
  The application’s launch will help reduce the need for a large administrative staff, allowing existing employees to focus less on routine tasks and more on value-driven activities.
• Greater return on marketing efforts.
  The patient's behavior analytics can help you craft more targeted offers. With insights into patient habits and preferences, you can create highly targeted offers that resonate with your audience, optimizing both campaign success and budget efficiency while increasing engagement and retention.
• Increased competitive advantage.
  Modern clinics that offer convenient digital solutions win more patients, improve operational efficiency, reduce no-show rates, and enhance patient satisfaction, all of which contribute to a stronger competitive position in the overall healthcare market.

Steps to build a doctor appointment app

Let’s check the steps included in the medical software development services that our doctor appointment app development company provides.

Market research

At this stage, our doctor appointment app development team defines the application's target audience (the patients' age, smartphone proficiency level, etc.). Next, we analyze the institution's business model for which it’s being created while researching competitors and identifying their strengths and weaknesse

Based on the insights received, we determine the app's basic and advanced features. For example, we want real-time patient monitoring through wearables. We also need to agree on the OS, which can be Android and/or iOS. Lastly, we must choose the best monetization model. Finally, we determine the necessary integrations with third-party solutions and the requirements that must be met (usually GDPR, HIPAA, etc.).

Prototyping and UX/UI design

At this point, our experts create user stories to guide the development of prototypes (first lo-fi, and when agreed upon with all stakeholders, hi-fi). Once the prototypes are finalized, our team starts working on the full-fledged doctor appointment app design. We aim to create user-friendly navigation that cuts off the input needed from the user to complete tasks. At the same time, the team works on the UI, optimizing it for mobile platforms and obtaining WCAG 2.1 accessibility guidelines.

Architecture development

This stage involves choosing an architectural approach (for example, microservices for better scalability, REST or GraphQL for API, and so on). It is also important to plan the processes that will be implemented on the server side (in particular, record management, authorization, etc.). On the client side (usually, this is the patient and administrator interface) and on the database side (as a rule, flows for transactions and caching are separated). We also select specific solutions for implementing the necessary integrations.

Coding

Now, we have everything ready to define the technology stack for the backend and frontend. This decision is based on whether native or cross-platform development will be utilized for the doctor appointment app. Once individual program modules are ready, we proceed with coding and testing each component.

Testing

Since the entire code base is ready, our doctor scheduling app development team ensures that it is fully covered with test cases to perform integration, load, and other types of testing. If there are any bugs, we will fix them immediately and then test the product again. Repeat this process until we meet all the specifications.

Launch and deployment

Finally, our doctor app development experts set up the server infrastructure (optionally, they also introduce CI/CD practices). Ensures data security (through encryption and regular security audits) and carries out a test launch of the software. If there are no critical bugs in the beta version of the application, we release it in the App Store and/or Google Play.

Post-release support and development of updates

This stage includes maintaining app stability, fixing failures, adding new features, optimizing existing ones, updating the design, and scaling with the growing user base.

Doctor appointment app design: Best practices

When it comes to the UI design of a doctor appointment app, we prioritize WCAG 2.1 guidelines. This section details and provides practical examples of their effective implementation for an optimal user experience.

• Readability of information.
  Maintain a color contrast ratio between text and background (at least 4.5:1 for normal text and 3:1 for large text). Also, include doctor avatars and icons, ensure text scalability up to 200% (without loss of functionality), and add subtitles and text transcripts for videos (if any).
• Ease of navigation.
  All UI elements should be keyboard-accessible and have a minimum clickable size of 44x44 pixels. Ensure there’s extra space around buttons or links to prevent accidental clicks and include breadcrumbs for easier navigation.
• Clarity of the interface.
  Use simple language in the interface, label all form fields, provide input format examples (like "dd.mm.yyyy"), highlight errors, and offer step-by-step instructions for complex tasks, including a progress indicator.
• Interface reliability.
  Ensure that your application is compatible with assistive technologies (for all functional elements, use ARIA labels). Test your app on various devices and ensure it uses standardized data formats like JSON and XML for smooth communication with integrated third-party servic

Of course, this is only a small part of the best practices you can implement in the doctor consultation app development process. To maximize the loyalty of your audience and better understand what the design should be — read the WCAG 2.1 guidelines directly.

Doctor scheduling app development: Overcoming key challenges

Generally speaking, everyone who is going to develop a doctor appointment app faces challenges to one degree or another. To overcome them effectively, it's crucial to understand them in advance. Let's explore them in detail:

• Integration with software solutions that you already use.
  Your application may require integration with systems and services that are either legacy or support non-standard data exchange protocols (i.e., different from HL7 and FHIR). In this case, you may need additional middleware development to ensure seamless data transfer.
• Data security.
  Medical information must be protected with particular care, as its leakage can lead to large fines and loss of reputation for your organization. To minimize risks, consider data encryption at rest and in transit, implement two-factor authentication and role-based access control. After all, try to regularly conduct pen-tests.
• Performance and scalability.
  High server load during peak hours can lead to failures in the operation of your application. To prevent this, you can initially choose cloud platforms that support autoscaling for hosting and implement data caching.
• Testing complex scenarios.
  During testing, your QA specialists risk missing complex interaction scenarios with the application. For example, when several patients simultaneously make an appointment for the same doctor or when the selected order of visits to several doctors is conflicting. To ensure comprehensive coverage of test cases, use automated testing tools.
• Accessibility.
  A confusing interface can drive users away, leading to fewer interactions with your app. To prevent this, conduct thorough UX research with real users before launch. Based on their feedback, make necessary adjustments to the app's functionality and design.
• The unwillingness of personnel to switch to new digital solutions.
  Adjusting to new rules might be hard, especially within historically established healthcare practices. You might consider providing training for your staff on how to manage new progressive software.

Beyond technical challenges, there are many business-related obstacles, from USP's definition to the choice of an effective monetization model. This is why, besides carefully selecting the right doctor appointment app development team, consider hiring skilled marketing experts, too.

Doctor appointment app development cost

From our experience of doctor appointment mobile app development, it is impossible to determine the accurate cost of such a project without understanding its functionality and the platforms it is intended for. However, based on the average cost for app development, we can give an approximate cost guide. Here’s a breakdown:

Complexity of projects:

• Simple apps typically range from $20K – $30K, and their implementation takes 4 – 6 months. These apps usually include basic functionalities like appointment scheduling and doctor search features.
• For medium apps like telemedicine integration and electronic health records (EHR), costs can rise from $30K to $45K with an approximate 6 – 9 months timeline. This includes both web and mobile platforms with a broader range of functionalities.
• Highly complex applications with real-time video consultations, comprehensive analytics dashboards, and AI-driven functionalities may exceed $45K+ and take 9 – 12 months.

Geographical variations

The cost can also vary by region:

• North America: Because of advanced technological capabilities, on average, it has the highest cost, ranging from $30K – $150K+. 
• Europe: Cost ranges from $20K – $150K, influenced by economic conditions from country to country.
• Asia: Development costs are generally lower, ranging from $20K – $100K.

Have a thriving idea for a doctor appointment app and are curious about a budget estimate for its deployment? Simply fill out this form, and we will swiftly calculate your project and contact you back.

Top 5 successful doctor appointment apps

Now, let’s explore some top-tier doctor appointment apps that excel in every aspect. These examples might inspire you to build a doctor appointment app for your healthcare organization.

Zocdoc

Zocdoc is praised for its intuitive interface and powerful search tools. The platform has an intuitive interface and powerful search tools. The platform streamlines appointments and has instant confirmation features, reminders, a feedback system, and seamless integration with insurance providers and document uploads.

Practo

Popular in India, Practo gives patients access to doctor appointments, telemedicine services, ordering medicines for delivery, and storing medical records. Patients can view individual doctor profiles, including their education, experience, and certifications, allowing them to choose the best specialists for their treatment.

Doctolib

The Doctolib application simplifies making appointments with doctors and provides the option to cancel a visit. This application is integrated with doctors' calendars, automatically sends notifications, and provides rich functionality for doctors (including scheduling management and provision of telemedicine services).

Healthgrades

As for alternatives for the US market, we cannot help but mention Healthgrades. This application helps users find doctors and medical institutions based on location, specialization, and rating. Plus, it allows patients to make appointments and get detailed information about particular specialists and organizations.

MyChart

MyChart — is a top charted app in the US and Canada. Designed to manage medical information and schedule appointments, it allows patients to communicate with doctors online and get family access.

Darly Solutions' expertise in online booking and enhanced customer engagement

The most relevant case for online doctor scheduling app development was Glamezy, a B2C solution for the beauty industry. Our client sought to create an online platform to help small and medium businesses in the beauty sector expand their reach, especially after the restrictions imposed by the COVID-19 pandemic. 

The goal was to develop a website that allowed customers to book beauty services online based on location easily. Also, the platform must have an easy and encouraging interface to communicate with potential partners while boosting sales and driving customer engagement. Ten experts worked on this project; and for the tech stack, we used React and Node.js.

As a result, we created a solution for easily searching and booking top beauty professionals. Now, the platform lets users add salons to a shortlist with one click, view nearby salons on an interactive map, and earn points for every transaction on the platform.

If you’d like to explore this case further, please visit our portfolio.

Final thoughts

It’s fair to say that at the heart of every design lies a larger goal for the benefit of humanity. A well-designed doctor appointment app boosts access and patient satisfaction while helping small and medium healthcare organizations and businesses thrive in the tech sector.

After you’ve read all the details about ideas and challenges for developing a doctor appointment app, it's time to find the right team to turn your vision into reality. 

For now, don’t settle for less. Darly Solution is here to help! Contact us today to discuss your project in detail.

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The future of healthcare is digital. In 2022 alone, the global patient portal market reached $2.9B, as the Grand View Research reports. By  2030, it’s projected to grow even higher — at a CAGR of 19.44%. This trend reflects how public and private healthcare organizations strive to digitize paper documentation and automate everyday business operations.

Indeed, the stakes in healthcare are high. Even minor errors can lead to incorrect diagnoses and worsen patients’ conditions. This is where patient portal software greatly minimizes errors, particularly those caused by human factors. 

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Below, read on how to create a patient portal. We’ll analyze the target audience’s needs, dive into the most successful examples of its implementation, and examine the nature of the target audience's requirements.

What is a patient portal system?

An online patient portal is a web or mobile solution (usually for Android and iOS platforms) that gives patients access to medical records, helps schedule appointments in a few clicks, and easily communicate with healthcare providers at any time. 

By automating the interaction between the parties via the patient portal, organizations can improve the quality of care while making their services more accessible and convenient for patients.

In particular, modern patient portal requirements are:

• Fast and secure access to their medical data and records with guaranteed privacy protection.
• High-quality medical services without the need to wait in long queues.
• A clear understanding of the treatment plan and progress.

Healthcare organizations instead aim to:

• Reduce their administrative costs – in particular, for maintaining paper documentation.
• Maximize personnel efficiency without the risk of burnout.
• Increase patient satisfaction through transparent interaction and remote patient monitoring.
• Comply with the healthcare regulations.
• Reach a new level of income by reducing expenses and attracting new patients.

That is why the patient portal system is the one-stop solution that, if implemented correctly, covers all the above-mentioned needs. This is typically achieved through the following features:

• Access to medical records (including medical history and test results).
• Appointment booking (with the option to select the date, time, and doctor).
• Online consultations (for example, via video calls and chats with doctors).
• Repeat prescription orders (automatic issuance of electronic prescriptions and reminders for refills).
• Online bill payment.
• Personal data management (including patient contact information).
• Push notifications (reminders for upcoming visits, tests, vaccinations, etc.).
• Educational materials.
• Feedback tools (surveys for patient satisfaction and forms for submitting complaints, etc.).

Types of patient portals: Which fits your healthcare needs?

Generally, there are two global types of patient portals: integrated and standalone. The former is presented as a component of electronic health records (EMR/EHR) and is fully tied to the infrastructure of a healthcare facility. Integrated portals ensure uninterrupted data exchange between doctors and patients but, in the case of ready-made solutions, are limited by the functionality offered by the specific healthcare provider.

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Standalone portals, however, come in two forms: SaaS and on-premise. The former are hosted in the cloud and are available by subscription, which is especially convenient for healthcare providers within small organizations. Their advantage is quick deployment and configuration. At the same time, their customization options are often limited. 

As for the second category, these are software solutions installed on local servers of a specific healthcare organization. They provide comprehensive control over data but require significant infrastructure and support costs. They can also be difficult to scale and integrate with third-party solutions.

It is worth noting that every medical organization has its own regular processes and specific business tasks distributed among different departments. In particular:

• The reception desk keeps track of patient records.
• Laboratories collect, process, and store test results.
• The finance department is responsible for payments and insurance processes.
• Doctors and medical personnel work with medical records and appointments.

All the above processes can rarely be integrated into a single system, which makes it difficult to automate them using only one off-the-shelf patient portal. Moreover, medical institutions vary greatly in specialization (including clinics, dentistry, laboratories, hospitals, etc.), and ready-made products do not always meet their needs. 

If we add to this the need to comply with regional security standards for patient data, it becomes clear that out-of-the-box solutions may not be viable. This is the main reason why healthcare organizations are increasingly resorting to custom healthcare portal development.

Patient portal requirements: Key features and functionalities

Now, let's check the main functionalities and features that should be integrated into a patient portal.

User authentication and access management system

This portal component uses OAuth 2.0 and OpenID Connect for secure login. It protects users' credentials and enables multi-factor authentication. Usually, developers provide multi-level access with restrictions based on user roles (including patients, doctors, administrators, etc.). 

At the same time, when implementing role-based access, it is important to adhere to widely recognized patient data security policies, such as HIPAA and GDPR. Specifically, doctors and administrators should have full access to all patient data. In contrast, individual patients should only be able to view, edit, and delete their info.

Medical data storage

The storage is located on local or cloud servers using AES-256 and TLS 1.3 for data encryption. By the way, many cloud vendors have ready-made solutions for healthcare organizations that meet the standards of patient data privacy (including AWS HealthLake, Azure Healthcare, and others). It is also crucial to ensure that such storage is protected against data misuse and unauthorized access.

Integration with EHR systems

This integration is necessary for consolidating patient data. Thus, developers must adhere to FHIR and HL7 standards to ensure compatibility and data exchange. As for the integration itself, if we are not talking about legacy solutions, it is carried out through an API. 

Finally, to ensure that the patient portal system complies with the requirements of the National Coordinator for Health Information Technology (particularly, the ONC's Cures Act), it is essential that the platform could get full access to the patient, with all the ability to edit and delete.

Appointment schedules, doctors’ cards, and telemedicine tools

The first two components involve creating a catalog with therapists’ information and a scheduling system where patients can book visits. This can be achieved through RESTful API to synchronize with hospital calendars. Also, integrating with trusted video communication platforms like Zoom Healthcare can facilitate direct communication between patients and doctors.

Automation of bill calculations and online payments

Online payments are processed through integrations with payment gateways like Stripe or PayPal. In general, they must support PCI DSS standards. As for the automated billing system, this is essentially a regular calculator that “pulls up” data on the cost of services selected by the patient and sums them up (minus insurance and benefits, if any).

Integration with wearable devices

This is necessary so that doctors can monitor the condition of patients in real time. To do this, developers use APIs to collect data from devices (for example, from Apple HealthKit or Google Fit, as well as more specialized IoT equipment). At the same time, they must also implement a mechanism for obtaining prior patient consent to collect personal data.

Messaging 

It also makes sense to integrate a chat (with the ability to attach media files) for interaction with doctors, supporting end-to-end encryption (E2E) and using WebSockets protocols that provide real-time messaging.

User dashboards

The patient portal needs an interface for each user role. Basically, it should adapt the data and tools for doctors, admins, and patients. Among other things, it can also be enriched with advanced analytical tools. For example, Power BI or Tableau can be used to generate reports and visualize data (assessing attendance dynamics, treatment results, patient satisfaction, etc.).

How to develop a patient portal software: From concept to launch

When it comes to custom solutions, our telehealth website development services are provided in several subsequent stages. Let’s consider them in detail.

Ideation and requirements analysis

At this stage, our team consolidates the portal concept of custom healthcare portal development, according to your business goals, unique aspects of your internal business processes and IT infrastructure, the needs of the target audience, and an analysis of competitors’ strengths and weaknesses. Based on this blueprint, we create documentation indicating functional and non-functional requirements.

Architecture design

From now on, our patient portal development team has everything ready to define the project's technological stack (for the frontend, backend, and database) and choose a specific architectural approach. We also approve the necessary third-party Integrations (including EHR, payment gateways, telemedicine solutions, etc.). 

Finally, we select tools and protocols to ensure our portal has a proper security level, including data encryption, user authentication/authorization methods, diagrams of interaction between components, etc.

UI/UX design

This stage involves building interface prototypes and gradually transforming them into a full-fledged design after usability testing. At the same time, our patient portal app development experts always take into account the requirements for the accessibility of the user interface. Basically, they are most accurately outlined in the WCAG 2.1 and ADA guidelines.

Development

Now, we can start working on the frontend and backend of the patient portal. Once individual functional modules are ready, we conduct unit testing to prevent hard-to-fix bugs at later stages of the project. This stage also involves the implementation of security mechanisms and integration with third-party solutions.

Testing and quality control

When the code base is ready, our patient portal development experts conduct rigorous testing, including functional, load, security, usability, etc. This stage ensures that the solution meets the best specs and software quality standards in healthcare.

Deployment and launch

Before launching the portal, we prepare all the necessary infrastructure, build a CI/CD pipeline, and set up a monitoring system. If needed, we can train your staff on how to use the portal. After all the previous stages are checked — we usually start deployment.

Post-release support and updates

To better understand ​​​​its further optimization, our patient portal development experts regularly check the portal’s logs and metrics, collecting feedback. In addition, as post-release bugs are discovered, we fix them and, if necessary, implement new features.

Understanding the needs of your patients

A patient portal and medical website design should fully adapt to the target audience's problems. That is why it is essential to define them in advance. Based on our experience, we would like to highlight the following ones:

• Long wait time when making an appointment.
  Patients often encounter long wait times in phone and in-person queues. A patient portal can help. It lets users book online appointments 24/7 and choose a specialist. In addition, it sends SMS or push notifications to remind patients about upcoming visits.
• Lack of full access to medical data.
  Many patients are forced to visit clinics because healthcare organizations still document their test results manually. The patient portal gives access to electronic medical records, test results, and doctor recommendations, which can be easily downloaded or saved (for offline access).
• Lack of understanding of the treatment plans.
  Patients may find it difficult to track their treatments' progress, which may result in forgotten, delayed, or canceled visits and procedures. To prevent this, portals display the treatment plan and the current status of therapy. In addition, patients get notifications about upcoming procedures, calendars, and recommendations, which is very smart.
• Difficulties in paying for medical services.
  The need for patients to be physically present makes offline payments resource-intensive. Patient portals eliminate this headache with integrated payment systems, allowing users to view their payment history and current bills in just a few clicks.
• Insufficient communication with the attending physician.
  In-person appointments to explain test results and treatment plans can be time-consuming for both patients and healthcare providers. Patient portals streamline this process with online chat and video calling capabilities.

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• Weak control over the treatment of chronic conditions.
  Patients with chronic conditions often lack convenient tools for regular monitoring. Portals can address this with real-time health data visualization, medication reminders, and appointment scheduling, as well as integrating with wearable devices for continuous data collection.
• Low involvement in the treatment process. 

Since some patients find it difficult to understand how their actions affect treatment results, the patient portal development team can also add interactive tools to the portal to track patients' treatment progress or provide educational materials.
Gamification elements can enhance the effect.

Patient portal development challenges and solutions

In this section, we will analyze the most typical challenges of patient portal software development and the most effective ways to overcome them.

• Ensuring compliance with regulations.
  Telemedicine hugely relies on strong data protection, first — to comply with laws like HIPAA and GDPR, and second — obviously, it is for patient trust. End-to-end encryption, role-based access control (RBAC), and multi-factor authentication are key practices, along with regular system audits and penetration testing to ensure security.
• Integration with existing solutions in the organization's IT infrastructure.
  Many healthcare providers still use older systems that don't easily connect with modern software. To solve this, developers can build 'middleware' — software that acts as a bridge — to automate data transfer between patient portals and other systems, ensuring everything works smoothly.
• Ensuring high performance and scalability.
  Many portals frequently freeze when user traffic exceeds the original design capacity. To solve this, developers can host the portal in a cloud environment that scales as users grow and use a microservice architecture to balance the workload across the portal's services. Additionally, they can optimize a database through indexing and caching.
• Ensuring intuitiveness. 

Since the target audience of patient portals is diverse (including the elderly, people with disabilities, and people with no technical literacy), there should be universal access to the full use of all portal functionality. To solve this, during the development of the patient portal software, the team should conduct user research and surveys to guide and optimize the software effectively. They should also adhere to the compliance of this software with the WCAG 2.1 guidelines. 

• Accessibility on mobile OSes.
  As patients increasingly manage their healthcare on digital devices, patient portals must offer a seamless mobile experience. Poor mobile optimization can lead to slow loading times and display issues. Developers can address this by building progressive web apps (PWAs) or cross-platform solutions, implementing offline access for key features, and optimizing content loading with techniques like lazy loading and data compression.

Patient portal software cost: What to expect

The cost of telemedicine app development depends on project complexity,  the team involved in the patient portal software development process, geographic location, development timeline, and the scope of features. Let's examine each of the points that influenced the cost in detail:

1. Project complexity

• Basic consultation apps with user registration, appointment scheduling, video calls, and messaging: $30K — $100K.
• Advanced telehealth platforms with multi-user portals, integrated EHR, and health analytics: $100K —  $300K+.
• Telemedicine platforms with IoT/AI integration: $250K — $500K.

2. Team composition

A typical team for creating a basic patient portal usually includes:

• 2-3 developers: Where 1-2 are front-end developers, and 1 back-end developer.
• The project manager: Tracks the project goals and wins. 
• QA specialist: Tests the app to make sure it works correctly.

3. Development timeline

The time it takes for patient portal software development also affects costs. Most telemedicine apps take between 2 to 6 months to develop:

• Simple apps usually take about 2-3 months.
• More complex apps may take up to 6-12 months.

4. Geographic location

American tech experts can be expensive. For example, a front-end developer might earn over $100K annually, about $8K monthly. He might charge between $70K — $80K for a three-month project.

Hiring remote developers can save you money. For instance, Eastern European developers or other regions often charge between $2,500 and $3,500 monthly. You can easily hire a similar team for about $30K to $40K for the same project.

If you want to find out the patient portal software cost in your case, please fill out this contact form. 

Improving patient outcomes with data management: A case by Darly Solutions

From theory to practice — let's examine our relevant Darly Solutions experience through a top case from our portfolio.

In particular, we were approached by a HealthTech company specializing in consolidating unstructured medical data for organizations in the healthcare sector. They needed a custom digital solution to monitor clinical data. 

Faced with a tight deadline and the need for high precision, we meticulously planned and assigned all the UX/UI design, web development, QA, and project management tasks. We also reviewed the team's work schedule, as some members had to work overtime. Finally, we carefully chose the technology stack. We settled on Angular, HTML, CSS, Docker, ngRx, TailwindCSS, NGX Pagination, and JSON. 

Finally, our efforts paid off. We launched the product on time and met all design, functionality, and quality standards. As a result, the client has a competitive product with all the chances to thrive in the innovative telemedicine sector.

Find out more about this case here.

The future of patient portal development

In general, the future of patient portal software development is closely connected with the fast development of modern technologies, such as:

• Artificial intelligence and machine learning. 

These technologies will personalize the portal and related healthcare services. AI-powered chatbots, including ones with recognition of human voice commands, will assist with scheduling appointments and answering FAQs. In advance, machine learning can also analyze patient data and symptoms to provide preliminary diagnoses.
Blockchain.
The introduction of blockchain technologies in patient portals can be aimed at more secure storage of their medical records and ensuring access to them only to authorized users. In addition, with its help, each interaction with data (adding, editing, and deleting) will be recorded, increasing the system's transparency.

• Virtual and augmented reality.
  These technologies can form the basis of next-generation telemedicine solutions. In particular, in the future, patients will be able to interact with doctors at a distance without reducing the quality of service. AR interfaces will also help inform patients about upcoming treatment plans.
• Internet of Things and integration with wearable devices.
  IoT solutions can provide end-to-end RPM in real-time (for example, portals will be able to collect and analyze data on the patient's pulse, blood pressure, oxygen level, and activity). Based on this data, doctors can receive instant notifications of critical changes regardless of patients' locations.
• Big data and business intelligence.
  Examples of patient portals use big data to identify trends, such as tracking the rise in the incidence of a particular virus or assessing the effectiveness of treatments. Also, end-to-end medical data analysis ensures timely prediction of exacerbation of chronic diseases. Finally, doctors and administrators of healthcare institutions will be able to monitor departments' workloads and optimize appointment scheduling.
• Biometric identification.
  Biometric mechanisms can give users access to the portal through fingerprint, face, or voice scanning, making the authorization process more secure and easier.

Conclusion

Now you know everything about patient portal development and can safely choose an off-the-shelf solution or search for a team to implement a custom one. If the second option is closer to you but you would not like to turn the search process into a real headache, you can contact us, and we will be happy to discuss the details of our future cooperation to implement your idea.

In recent years, mental health has taken center stage globally. Currently, approximately 792M people globally have mental issues and lack access to traditional therapy due to financial constraints or societal stigma. The best way to solve the issue — is to go digital. That is where mental health app development comes into play. It cuts costs and makes mental health available to everybody around the globe. 

As to the market, in 2024 alone, the app market saw expansion to approximately $7.38B. In a decade, forecasts promise growth up to nearly 10% annually, scorching $17.52B. 

If you are ready to build a new solution — now is the perfect time to start. Below, we will explain how to develop a mental health app, share standout mental health app ideas, and highlight key factors to keep in mind.

Why mental health apps are in demand

Even though people have faced mental disorders throughout the entire history, only in recent years solving these problems become normal and generally accepted. And it won’t stop. Let’s numbers speak louder — according to 2019 alone, the global capitalization for the global antidepressant market was estimated at $11.67B. By 2027, the market promises to grow to a record $18.29B. 

Of course, depression is not the only issue. According to the World Health Organization (WHO), there is a growing tendency for PTSD, anxiety, and OCD (due to economic instability, military conflicts, pandemics, as well as personal problems). 

Additionally, the fast-paced world daily brings panic attacks, triggers, and burnout (prevalent among doctors, teachers, and IT workers). Youngsters are prone to issues, too; among the most “popular” — are low self-esteem and social isolation.

Financial constraints and a lack of free time put hefty pressure on those who need a traditional approach to addressing mental problems. Then, an in-person visit to a psychologist or psychiatrist becomes a real luxury. But what if there is a more efficient, accessible alternative? That’s where developing your mental health app comes in.

Business and monetization models of mental health applications

For mental health app development, the following monetization models have proven to be the most profitable:

• Fee for the services of real psychologists.
  According to this model, the application acts as a platform, connecting users with professional psychologists, coaches, or therapists (similar to a marketplace with reviews, ratings, cost of services, and other attributes). In this case, the application earns the commission from each transaction (usually 15-30%).
• Subscription-based model.
  This model has a fixed fee for regular access to content and/or services for a certain period (month, year, etc.). If your app has diverse content and functions, offer multiple pricing models. This lets users pick a plan that suits their needs best.
• Freemium.
  These models give free access to basic functionality, with particular features to be paid. Usually, there are personalized recommendations, access to exclusive courses, advanced progress analytics, etc.
• One-time purchase.
  This model involves a one-time purchase of the application, after which the user has access to all its functionality.
• In-app purchases.
  Here, the basic functionality is available for free, but additional materials or services are paid (personalized plans, unique selections of tracks for meditation, etc.).
• Ad-supported model.
  In this case, app is free but includes built-in advertising (banners, videos, native advertising, etc.). At the same time, to improve the user experience, you can offer an option to turn off ads for an extra fee.
• B2B model.
  This model translates into you selling licenses to companies with internal programs to support employee mental health.
• Selling merch.
  This model focused on branded wellness merchandise promotion via scented candles, self-improvement guides, and mindfulness notebooks.

Top mental health apps on the market

Now, let's explore the most popular mental health apps. Perhaps they'll give you extra inspiration for your mental health app development project.

Headspace

Endorsed by the editors of the New York Times and 2.8 million users globally, Headspace is a product of the mental health company of the same name. Its core functionality includes meditations dedicated to improving sleep quality, relaxation, and cultivating mindfulness. They also offer courses on meditation, managing borderline emotional states, and more. Moreover, the platform has scientifically proven results in stress reduction and a user-friendly interface.

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Calm

The Calm app is loved for high-quality content and a simple and intuitive interface. by 4.5 million (2023). And it is rightfully so. This app spins everything, from meditation sessions and effective breathing exercises to audio programs that are good for falling asleep faster. As for monetization, there is a free version with limited access.  Full access to functionals is only available with a paid subscription.

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BetterHelp

BetterHelp has over 2 million users and connects with licensed therapists via text, phone, and video. Patients must pay a fee to continue their subscription and can also volunteer to donate to others. This app goes far beyond mood issues. It covers complex disorders and symptoms, such as clinical depression and PTSD. 

Talkspace

Talkspace provides online therapy with licensed therapists through a tiered subscription model (with health insurance coverage). Moreover, this app is ideal for managing medication treatment and has many formats for direct communication with psychotherapists (including cases of emergencies).

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Moodfit

Founded in 2018, Moodfit has become the top mood assistant for more than a million people worldwide. It has personalization options, customized mood data analysis through visualization tools, and mood-improving recommendations. In addition, the app has cognitive-behavioral therapy exercises as a handy and entertaining way to deal with mental issues. 

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Woebot

Woebot is a free AI-driven bot founded by Dr. Alison in 2017.  It is based on text format and has cognitive behavioral therapy methods. Initially, this software was intended for youngsters in college and graduate school, but today, people of all ages use it.

Sanvello

Sanvello, created by Dale Beermann and Chris Goettel, provides evidence-based CBT techniques and tools to support mental well-being. Since 2015, the app has offered free features and premium content through subscription or insurance.

Key components of a mental health app

Let's determine what mental health app features should be included by default.

Registration/authentication/authorization system 

The main functionality of this system includes two types of registration: full-fledged, with the user’s email, and fast, through social networks (this is implemented through the OAuth 2.0 protocol, which is suitable for integration with Google, Apple, and Facebook). 

For better protection of user data, use two-factor authentication and store hashed passwords. This can be done, for example, using bcrypt. Additionally, allow password recovery via email or SMS and register log-in/logout events for a data security audit.

User profile

Include the functionality for adding, saving, and changing personal information (name, age, mental health goals), maintaining the user’s activity history (exercise completed, courses, sessions with psychologists, etc.), and privacy settings (public/anonymous profile). Typically, profile data is stored in a relational database (PostgreSQL/MySQL); it is also necessary to set a clear separation between public and private user data.

Home screen and navigation

The home screen should feature a clickable menu, allowing users to update content based on their settings. You can also add push notifications (for example, using Firebase Cloud Messaging). As for the menu, place meditations, psychological tests, stretching, and yoga exercises in text, video, and/or audio format. You can also include real-time communication with specialists via text, voice, and video chats.

Use cloud platforms such as AWS S3 to ensure scalable content storage. If your application is media-rich — add media streaming via HLS. 

Finally, localize content for users from different regions if you plan to maximize your target audience. 

In-app payment system

If you plan to monetize your app through subscription payments or in-app purchases, integrate App Store and Google Play to process payments via the In-App Purchase API. You can deploy the web version via Stripe. Once everything is ready, provide access control based on the paid features.

Analytics and recommendations

Place functionality for tracking user progress and boosting their motivation (e.g., mood changes) and recommendations based on analytics. The latter makes sense to implement using machine learning models (e.g., based on TensorFlow).

What to consider before creating a mental health app?

The basic functionality of a mental health app goes far beyond making it popular and profitable. Therefore, to maximize your chances of success, consider the following factors before creating a mental health app.

Competitive environment

Usually, it involves the user interface, content accessibility, and the quality of the exercises/recommendations. Notably, the Calm application (sleep stories) and BetterHelp (online chat with therapists) are prime examples of such. 

Analysis of bad ratings — matters too. In particular, users usually complain about the high subscription costs, lack of personalization, navigation problems, and negative experiences with customer support service. You can use it to make a competitive feature. 

Target audience

Your target audience — above all. This can be young people (18-35 years old) who need an effective solution for stress management and improving sleep quality. Or the elderly might be searching for a more convenient professional in-home/palliative care format. Finally, it could be corporate clients who want to implement programs for the mental support of their employees. 

Ultimately, user needs may vary. Based on the insights, determine the preferred content format (e.g., meditation, CBT, DBT, video sessions) and presentation style.

Regulatory requirements and user data privacy

The most common and comprehensive regulations are GDPR and HIPAA regulations, which govern the processing of personal data and medical information. To comply with them under the mental health app development process, you must implement data encryption (via SSL/TLS) and ensure transparent privacy policies.

Marketing strategy

To attract a broad user base, create a unique selling proposition. This can be achieved through AI diagnostics, integration with wearable devices via IoT, or simply offering a lower price than competitors. Next, point out the comprehensive marketing strategy. Select the right promotion channels: social media, partnerships with therapists, or advertising through user reviews. is essential for developing a comprehensive marketing strategy. Additionally, to retain users — regularly update content. 

Testing and feedback

It’s better to subject an app with a diverse target audience to beta testing. To do so, find the first users who could be your potential consumers, gather feedback, and optimize the app based on their input.

Financial costs and ROI

Finally, estimate the project budget. It should include development, marketing, updates, customer support, and infrastructure maintenance. Given the costs, you must also estimate how long it will take till your project is profitable. It might be useful for future investors.

What are the main phases of mental health app development?

Now that you have so many insights at hand, you can start the mental health app development process. Let's find out how this happens in practice.

Ideation 

First, define the problem. It is the mental health issues that trouble your audience and their goals. Obviously, your app should cover it. The solution might vary. It could reduce stress, help with sleep, or heal depression. Moreover, in the very first stage — conduct a competitive analysis. This will help identify niche leaders, find the target audience, and formulate a USP.

Planning 

At this stage of the mental health app development process, you will already have enough information to determine the main functionality of your teletherapy application. Select a technology stack (or at least decide whether it will be a native or cross-platform solution), and clarify the business model. Based on this, you can calculate an approximate project budget.

Design 

From now on, your mental health app developers can start creating prototypes and gradually turn them into a full-fledged design. Note that to develop mental health apps, you must use WCAG 2.0 guidelines, which ensure all users can access the app's functionality. Once the mental health app design is complete, test usability with real users to refine the navigation.

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Development 

The mental health app development process is divided into frontend and backend. The first includes the implementation of the user part of the software, and the second – everything that happens on the server side. As individual modules are ready, your mental health app developers will need to perform unit and integration testing to prevent difficult-to-fix bugs in the future.

Testing 

Once the entire codebase is ready, QA specialists and testers will create test cases to ensure each function works correctly and the app performs well under high user load. This testing also ensures that all user actions within the app are secure and protect their privacy.

Release

Now that testing is complete, and all detected bugs are fixed, you can publish the application in the App Store and/or Google Play (your development team will first need to check whether it meets all platform requirements). After publishing, you can launch an advertising campaign to attract the first users, as well as set up tracking tools like Google Analytics and Amplitude to analyze user behavior.

Post-release support

At this mental health app development stage, you must check your application's speed and stability regularly. You will also need to update/expand its functionality once in a while and optimize what already exists based on feedback from real users. An equally important point is ensuring compatibility with newer versions of iOS/Android.

Challenges in mental health app development

Various challenges can arise during the mental health app development process. Let’s analyze them:

• Compliance with regulations.
  Mental health apps often handle and maintain personal information, including medical data, which imposes obligations on you as a developer to implement GDPR, CCPA, or HIPAA compliance.
• Balance between personalization and privacy. 

While personalization — is a key feature of these apps, it sometimes conflicts with privacy requirements. To address this, implement advanced mechanisms for anonymizing user data, which will reduce the need to send sensitive information to the server.

• Evidence base.
  The content provided by your app must be scientifically sound and effective for users. To do this, you should either accompany all your treatment plans with individual recommendations from real therapists or initially use approaches with proven effectiveness.
• User retention.
  Many users abandon apps after a few days of use, so your app may need additional retention mechanics (such as gamification and adaptive push notifications) that won’t make users feel guilty or overwhelmed.
• Monetization efficiency.
  Most users search for free or cheap health-related apps. At this point, you need to figure out the balance between user accessibility and the financial sustainability of your software.

How much do developers charge to build a mental health application?

The budget for developing a mental health app development depends on its complexity. So, we can't give exact numbers without first discussing your idea with your development team. But the approximate price ranges from:

• $140K for a teletherapy app.  
• $70K for a simple mood-tracking app with self-monitoring features.

Back-end features, like a database and admin panel, are often overlooked in cost estimates. Developers typically include these in the overall pricing for mental health applications.

If you want to get an estimate of your project, please contact us. 

Mental health app design: Best practices

Now, let's analyze several mental health apps (some of which have already been presented to you above) whose design has pleasantly surprised us. Maybe they will help you think better through your mental health app development process. 

Headspace

This app is praised for its simple and minimalistic interface, with bright illustrations and smooth animations that literally "nudge" users to meditate with its help. It is also adapted for beginners and is generally perceived as intuitive. This approach to design minimizes anxiety in users and motivates them to meditate regularly.

Calm

The aesthetics of the Calm app lie primarily in the author's images of nature, a soft color scheme, and smooth animations. Together, they create an atmosphere of relaxation  - that’s what you need to reduce stress. The app also stands out from its competitors with its "sleep stories" that help people with high anxiety fall asleep faster. 

Reflectly

Reflectly's unique design uses artificial intelligence to offer a personalized experience. A clear, user-friendly interface, dynamic prompts, and mood analytics complement this. Together, these features make the app an ideal choice for audiences of all ages.

Daylio

Daylio's intuitive interface is accompanied by simple icons for tracking the user’s mood and activity. Moreover, all these application elements are easy. Developers ensured that performing target actions doesn’t take too long. The application also has a built-in report generator with visualization elements so that users can monitor their progress.

Happify

The Happify app has a gamified interface. It simplifies and informalises the process of improving the psycho-emotional state. The gamification principles here are based on scientific methods to improve mood. So, it does not add to users' cognitive load.

Mental health app ideas to succeed in 2025

In this section, let’s look through the most viral mental health app development ideas so you can pinpoint your project to success:

• Integration of AI.
  AI assistants can help analyze moods and behavior patterns, give personalized recommendations on how to improve well-being, and remind them of any regular upcoming activities, like a daily mood rate system.
• Social interaction.
  This can be implemented via in-app groups of users with similar mental problems where they could share their healing experiences and receive mutual support.
• Integration with wearable devices.
  Through the IoT, you can analyze heart rate, assess stress levels, determine sleep quality, and create a common mental health map.
• AR and VR tools integration.
  It might be useful for relaxation (to enhance the immersion effect).
• "Instant help".
  Through the screen for quick access to ready-made materials and an online chat with a psychotherapist.
• Content specially adapted for children and adolescents.
  For example, these could be games for managing emotions or recommendations for teenagers on dealing with anxiety and stress;
• B2B solutions for companies.
  in particular, these could be psychotherapeutic assistance to prevent burnout.

Highlights of our experience in delivering healthcare solutions

Finally, we'd like to share our experience developing a mental health app. A client approached us to expand their services to the web, specifically to support small businesses recovering from the recession caused by the coronavirus pandemic. The objective was to create a platform to attract a target audience seeking health-related products and services.

For this project, we assembled a team of ten specialists. We chose Ionic and Vue.js for the frontend tech stack, with Laravel for the backend. The result was an online platform featuring a simplified login process, the ability to schedule and reschedule meetings between clients and trainers, an intuitive search for events and classes, role-based access, and an integrated payment system for online payments (covering group and individual courses, as well as event participation). We also implemented live session connections via Google Meet and Zoom. The solution was complemented by a clean, minimalist design with a calming color scheme, ensuring a pleasant and user-friendly experience.

If you want to learn more about this project, please follow this link.

Final thoughts

With this comprehensive guide, you can confidently start looking for specialists who would bring your idea to life. Don’t go any further, as you are already in the right place! Just fill out this form, and our mental health app development team will contact you as soon as possible!

Nowadays, having a company website is as essential as having an office, domain or telephone number. By 2020, approximately 4.5 billion people, or more than half of the world’s population, are connected in some way to the World Wide Web in order to satisfy their entertainment, education, research and consumer needs.

If your business does not have a website, we provide a number of benefits to you:

1.  It sets the first impression

When your audience visits your website, it gives them their first impression of your business. They will judge your business within seconds. In these first few seconds, you can make a positive or negative impact on your audience. The impression you make on them can either get them to remain on your page and learn about your business, or leave your page and turn to a competitor.

2.  Cost-Effective

Use your website to sell goods and services directly to consumers without various forms such as printed media, radio, television, etc. Having the website will make promoting much easier and less expensive.

3. Online 24/7

Anyone, anywhere and anytime, has access to your website and gets business information and details about your products and services.

4. Advertising and Increase Sales

SEO and online advertising are a great way to be the first company that a potential new customer sees when searching for a product or service online. An effective website with great content can attract many more people and increase sales.

5. Customer Service Online

Websites provide an easier way to handle customer service. In the modern world, people buy products and services using mobile phones to browse the internet.  So, it might help customers find your location while they are on the move. This is especially important for restaurants, cafes, and other eateries, but is also relevant for other businesses.

However, there are a few disadvantages of having a website for your business:

1. Reliability

The information on your website might be updated on a regular basis. Otherwise, you will lose some part of potential customers due to unreliable information on the website.

2. Bad Publicity

If customers are unhappy with your products or services, they may feel the need to reference your website in their reviews or comments. This could potentially be damaging, hurting your reputation and your search engine ranking. Of course, not having a website won’t prevent such things from happening, but it might allow you to monitor and be aware of it.

3. Right development team

It is no secret that there are lots of companies that can design and develop a website. Among the sea of designers and developers, you need to find a team that will understand your business goals and the needs of your customers and convert them into a beautiful website.

Having read that, you might come to the conclusion that having a website is a crucial thing in the digital world, and it is a great opportunity to raise your sales.

Darly team understands this fact, and we are going to show how we can provide your business and your potential customers with a great experience.

At Darly Solutions, we offer two main approaches to creating a website:

Creating a website from scratch

Required knowledge and tools:

1. HTML (Hyper Text Markup Language)

HTML is the basic structure of web pages and web applications, which makes the content semantic to the web browser. Every web page you see on the Internet is written using one version of HTML code or another.

2. CSS (Cascading Style Sheets)

CSS is the language for describing the presentation of Web pages, including colors, layout, and fonts. Without CSS, a web page would look like a large white page with some unordered text and image on it. CSS is the thing that makes it all look pretty.

3. Scripting Languages

HTML and CSS cannot be interactive without scripting languages. To make a dynamic web page that will respond to user actions, you need languages like JavaScript and jQuery. Server-side languages like PHP, Python and Ruby might also be needed over time.

4. Database Management

Database Management allows to organize, store and retrieve data from a computer. Database Management Systems like MySQL, MongoDB and PostgreSQL are used on the server-side to do this job efficiently.

5. FTP (File Transfer Protocol)

FTP is a standard Internet protocol for transmitting files between computers on the Internet over TCP/IP connections. FTP is used to transfer a website’s source files to its hosted server more easily.

Creating a website with CMS

WordPress is extremely powerful and can run most types of websites. Statistics show that WordPress is currently the most popular CMS (Content Management System) in the world. It powers 27.8% of all sites on the web, with about 50,000 new sites being created daily. With more and more people viewing sites on their smartphones and other mobile devices, it’s really important to have a site that is responsive to these digital demands. With WordPress, most themes come mobile friendly by default. Usually, WordPress is used for creating blogs where you have to work with a big amount of texts and need to edit them all the time.

Design

The success of any website entirely depends on how good its web design is. It is important so much that 38% of the visitors will leave a website if they find the design unattractive. When your audience visits your website, it gives them their first impression of your business. They will judge your business within seconds. In these first few seconds, you want to make a positive impact on your audience.

You can think of web design like selling a car – it could have the most incredible engine, but if the appearance is hideous, people will not be interested in buying it.

Good website design needs a wide range of professionals having expertise in different areas.

Here in this article, we’ll outline the 5 steps to create the perfect design.

1. Set your goal and strategy

2. Research the latest web design trends

3. Select a team for cooperation

4. Decide on your branding

5. Think about positioning and optimization of your content

We’ll run through all the steps in detail below.

Set your goal and strategy

Before you jump head-first into designing your website, you need to be clear on its purpose. Keep in mind that your visitors want to understand what your business is all about in the blink of an eye. Having multiple main objectives is likely to result in confusion.

Once your purpose is clear, the focus shifts towards what action you want visitors to take when they land on your website. Is your site there just to display information? To sell products? To get sign-ups? The answer to this will ultimately dictate how your website looks and feels. Using E-Commerce as an example, one crucial element of your design is your landing page.

Research the latest web design trends

It’s important to note that just because a web trend is current, it doesn’t mean it’s necessarily right for you. You can look at what competitors are doing and analyze the things and features that you like and dislike. Each sector will have different styles, so it’s important to consider this fact.

Select a team for cooperation

Design of your website plays a vital role in your online marketing campaign’s success. If you want to drive the best results for your business, you must invest in designing a website that encourages people to learn more about your business. At Darly Solutions, we have over 4 years of experience designing websites.

We are a full-service IT company that specializes in web development, mobile app development, UI/UX design and so on. Our team of experts will bring their knowledge and expertise to your campaign. We know the importance of web design and can help you create a website you’ll love.

Wireframes, prototypes and mockups form three of the earlier steps of product design. The great way to explain them is to imagine a parallel between them and the human body. The wireframe is the skeleton or the structure of the product. The prototype is the brain or the organ that decides how the human should move and interact with something. The mockup is the skin, hair, and facial features, or brand, that make the human instantly recognizable.

Decide on your branding

Color is one of the brand’s biggest communication tools. In fact, according to Color Matters, a signature color can boost brand recognition by 80%. There’s a lot of psychology behind people’s perception of color, so it’s important to understand how it’s used in relation to your industry.

Most brands have one dominant color, then two or three secondary colors. Blue is the most popular color, with one third of the top 100 brands using it in their logo.

There are many factors that should be considered like colors, font style, imagery etc. In this case, a professional designer can help and suggest a solution based on your business and your requirements.

Think about positioning and optimization of your content

There are two things that you need to consider: positioning and optimization.

Recent research shows that website users scan a page in a shape that resembles an ‘F’. This is why navigation bars on websites are nearly always displayed across the top of the page. It’s the first thing people are drawn to when landing on the site.

Optimization is the process that helps content rank higher on search engines (primary example being Google). Search Engine Optimization (SEO) can increase the quality or quantity of people landing on your pages.

Conclusion

After all of that, congratulations! Your website is now live. You can publish it, but it’s time to check if everything works before you go live! Ask your family, friends, and colleagues to test the site in preview mode (all website builders and E-Commerce platforms will have this), and see if they find anything wrong. You can even get members of the public to test it too. Always take the time to properly check your website. After that, you’re ready: publish your site!

Now, you’re the owner of a live website. But, if you think that you can kick back and relax now, you are quite wrong. Regularly checking the growth and performance of the site will be your responsibility.

However, you can connect your website to tracking tools or at least have an analytic app to install. Alternatively, you can connect your site to Google Analytics.

The truth is, a web designer’s job is never truly done. If you just sit back and admire your work, others will overtake you. So, you need to keep on top of your site’s performance and check for design trends updates.

Hey, are you here to find a solution for a consolidated and easy-to-access “home” for your business information, which is usually transferred from different places, often unrelated to each other? Then, you probably need to think about creating a digital space where it will be integrated, cleaned, structured, and stored accordingly, for further use in your regular business operations. But what is this space? Let’s find it out right now.

What Is Data Warehousing?

In a nutshell, it is a repository where your business data comes from disparate sources, where it is brought to the proper quality, and where it is stored, providing individuals with the appropriate rights with easy and fast access to it. Typically, such repositories serve as one of the central components in automated analytical solutions, but, as practice shows, the range of their application can be much wider.

Key Components of a Data Warehouse

In general, its main components are considered to be the following:

• Sources, from which structured and unstructured information comes – these can be third-party databases, tables, systems, applications, etc.;
• Data Extraction, Transformation, and Loading (ETL) tools, which define scenarios for extracting, transforming, and loading the information;
• Data warehouse database, which is the main repository (usually in the form of a database management system, DBMS) with already prepared, i.e., cleaned and structured data, that can be used for analytics, reporting, and other business tasks without additional manipulation;
• Metadata repository, which includes the permissible data types and the rules according to which this data will be used;
• Query and reporting tools, which define algorithms for fast and unified access to data, as well as its analysis;
• Data mart, a subset of the data warehouse that is used for individual business tasks (this can imply, for example, marketing data warehouse design) which formation occurs either directly through the collection from disparate sources or pre-preparing within a consolidated space.

Core Principles of Data Warehouse Design

Now, let's talk about the main data warehouse design principles:

• A clear definition of business requirements and goals, as well as metrics that allow you to objectively assess the degree of their achievement;
• Understanding how information is integrated from multiple sources and what should be the unified format after its transformation;
• Choosing the right type of data modeling – these can be star schemas, snowflake schemas, fact tables, and so on;
• Choosing the right methods and data warehouse software to ensure the quality and consistency of information, in particular, the methods of cleansing, validation, and supplementing of data;
• Planning, scaling, and managing the performance through various methods of indexing, partitioning, compression, etc.;
• Choosing the right tools for metadata management to simplify and improve access to the information;
• Ensuring security and access based on policies and rules (usually, this is achieved through the implementation of advanced encryption algorithms, the introduction of access policies for different user groups, as well as providing reliable authentication and authorization methods);
• Implementing end-to-end monitoring for ensuring data quality and security, performance of processes occurring within the data warehouse, and so on.

Steps in Data Warehouse Design

In this section, we invite you to consider the key steps leading to a successful and agile data warehouse design.

Requirement Gathering

According to the principles to design a data warehouse we defined above, the key to effective data warehouse design is to gather business requirements and clear business goals that it should fulfill. It is also important to identify the requirements for security, scalability, and performance of the repository.

Data Modeling

This is not yet a practical stage, but it still requires the participation of specialists – in particular, it implies the identification of entities, their attributes, as well as possible relationships between them. After this, the most suitable type of DBMS implementation needs to be selected – for example, in the form of tables, columns, indexing, etc. After this, you have to make sure that the selected type performs all the tasks assigned to it according to the predetermined requirements.

ETL Process Design

We have already explained above what the ETL process means, and this stage actually involves choosing the right tools and scenarios for their use.

In particular, you will need to define methods for extracting information from disparate sources (these can be database queries, API calls, file transfers, etc.), methods for bringing data to a single format and ensuring its proper quality (since you will most likely have to deal with big data, there may be many inconsistencies), methods for aggregating data to create complex information structures, automation methods for bulk loading of data (this can be full or incremental loading, and so on) with the usage of temporary storage areas, methods for detecting and eliminating data errors, as well as methods for checking data for completeness and accuracy.

Database Schema Design

There are several well-known data warehouse design patterns, such as:

• Star, which has a fact table at its center and dimension tables associated with it around it;
• Snowflake, which is a more complex Star and also implies additional dimension tables that surround each base dimension table;
• Galaxy, which contains two fact tables and the dimension tables between them.

Data Integration

Now, you can start integrating the data using the previously defined ETL tools and technologies. At this step, you need to make sure that everything works as intended, and the data is transformed into the required unified format.

Data Storage Solutions

At this stage, you need to choose specific data storage solutions according to your requirements for the expected data volume, performance, scalability, and cost. Usually, the choice is made between relational databases, columnar databases, data lakes, and cloud data warehouse solutions.

Data Presentation Layer

Finally, to design data warehouse, you will need to understand what your data presentation layer will be – the layer at which end users will be able to seamlessly access the data and use it to solve specific business problems. This includes developing interfaces, dashboards, reports, and various data visualization tools.

Conclusion

Now that you have a clear guide to data warehouse design, you can begin implementing it with a full understanding of the principles and stages on which it is based. If you would like to delegate this comprehensive task to seasoned data warehouse development specialists, just contact us.

If you are currently looking for a web agency that you can safely entrust with your task regardless of its complexity and scale, this article is for you. Below, we will find out how to identify the best web design agencies and also consider several aspects that will lead you to the best choice.

What Sets Apart Top Web Design Companies

So, what distinctive features should top web development agencies have? In general, you have to check four fundamental ones. 

Innovative Design and Cutting-Edge Technology

If we are talking about a top web solutions agency, you should visit and analyze its website – this way, you will be able to understand whether its specialists follow web design trends, use modern technologies, and whether all this is reflected in the design of their website as well. Just check how modern their website looks, and also visit the Blog, Our Services, and Niches We Cover sections – here, you can get a complete picture of how regularly these guys up their skills.

Client-Centric Approach and Custom Solutions

The best web agencies should have a client-focused design approach, and this is always reflected in their values and mission, which can be described either in the same sections of the website or in the more general About Us block. You can also look through their web design portfolio to make sure that the projects they worked on look diverse and do not repeat the same or a couple of good templates. 

Case Studies: Success Stories

In general, today, it is difficult to find digital web agencies whose websites do not have a blog with case studies (or a private resource where they are posted and to which you can get access upon request), but exceptions do exist. Ultimately, you are better off avoiding those who fall into the second category because no matter how visually attractive their works are, the benefit of the created UX designs can always be measured by specific metrics. This means that if this analysis was not carried out on any of the previous projects, the same thing could happen to yours, and you will simply get pretty pictures instead of an innovative design that will provide you with the necessary conversion rates, user traffic, etc.

Client Testimonials

Finally, you will need to check reviews about cooperation with web development agencies of your choice, left by real clients. It is better to do this on third-party independent web resources where companies post their short presentations, such as Clutch, Upwork, etc. This way, you will be sure that the insights you received are honest and that you did not just read the praises left by employees of the specific agency about themselves.

Key Considerations When Choosing a Web Design Agency

If, after the research briefly described above, you already have a couple of agencies in mind, you can easily narrow down your choice for one by clarifying the following details.

Setting the Right Budget

If you think that you have already found your ideal web design agency and you truly like its ultimate web designs, make sure that your budget allows cooperation with it. The fact is that the pricing policies of agencies can differ greatly from region to region, as well as depend on their position in the market (experienced ones usually have a higher price tag because of their positive reputation and image).

Performing a Thorough Agency Search

If you had several agencies in mind, you may have filtered out the vast majority (or even all) of them in the previous step. In this case, in order not to be limited to a small sample, you will need to expand your list. To do this, you can use not only Google search results (although this is quite an effective tool for such tasks) but also all kinds of online rating platforms, LinkedIn, and, of course, your personal business connections. It is recommended that, at this stage, you have at least five agencies under consideration.

Asking the Right Questions

Now, it is the time to communicate with representatives of your chosen agencies personally and discuss issues that are critical to your possible cooperation with them. They are typically related to experience in your business niche, experience working on projects of your size, understanding your vision for the financial solution, and the supporting collaboration models and types of services (custom design, redesign, template-based design, etc.) that suit you best.

Conclusion

Now, you know the main criteria by which you can distinguish top web design agencies, and you can safely go in search of such one. And, of course, we cannot miss the opportunity to recommend ourselves to you. In particular, you can clarify the considerations that we provided above with our sales representative to gain confidence that your project will fall into the right hands.

Telehealth, simply put, is some type of delivery. It helps to provide health care services when patients and health professionals are separated by distance via remote technologies. Telehealth uses technologies for the exchange of information for the diagnosis and treatment of diseases and injuries for the patients. Live video conferencing, mobile health apps and remote patient monitoring (RPM) are examples of technologies used in telehealth.

It’s Healthtech time

Telehealth is improving the healthcare industry in many ways, the first of which is increasing its accessibility. Telehealth allows specialists to visit patients virtually from any place in the world by improving access as well as making a wider range of healthcare services available via telemedicine.

Today’s Telehealth environment consists of a global ecosystem of myriad digital solutions.  There are two alarming end-users trends that you should pay attention to when considering Telehealth design and solutions.

1. What doctors struggle the most with
2. What people looking for when they choose the healthcare providers

Providing virtualized healthcare to any place in the world is one of the best-known applications of telehealth. But the medical industry is using it in several other ways, including:

• Urgent help in distance. It can be a headache or sore throat. There are many medical complaints that aren’t life-threatening, but they need some professional attention. Virtual care services allow skilled health personnel to treat minor complaints, including providing appropriate prescriptions.
• Stay in contact. Qualified medical personnel can use messages, phone and video calls to follow up the patients after they are discharged from the hospital. This way, improves worker productivity from not having to take time off and travel to appointments and ensures each patient understands the importance and carries out recovery and treatment plans. Also, telehealth platforms can automate much of the communication process, including sending reminders to the patients.
• Updating online prescription. Telehealth provides the possibility to update online prescriptions even If you’ve been unable to get to your own doctor to refill a current prescription.
• Monitoring of patients with chronic conditions. For these patients, it is one of the best benefits of telehealth. Virtual care helps those who have mobility issues, mental illness, and other conditions that may prevent them from going to in person medical appointments.
• Facilitating care to rural areas. Telehealth is a great way to provide patients in places that are outside the current health delivery system with access to quality care. In the event of a medical emergency, telemedicine makes it possible to coordinate with specialists in other regions without wasting time to provide patients with effective treatment.
• Increased patient satisfaction. In addition to referrals, many patients assess and choose healthcare providers through online reviews. As such, you must have positive reviews that will attract new patients. Telemedicine helps improve patient satisfaction scores by providing convenience of care and reducing wait time. The providers have the opportunity to offer remote services to the patients and make it convenient for them to receive medical attention. Also, this process reduces in-hospital visits.
  

All right, let’s move on to the design

Telehealth platforms require a unique approach to service design. As you can imagine, it isn’t the same way, say, for a food delivery service.

Telehealth is not about technology, it’s about people

That’s a good reminder that you need to create space for telehealth that provides human connections and assistance. The healthcare industry is unique and complex, and it can be challenging to set up. Establishing fundamental principles to guide telehealth design will help us keep sight of the user experience and user journey throughout different healthcare systems.

In this article, we’ll highlight the important and unique challenges in the design faced by digital health companies and startups.

1. Research. To begin, you need a shared understanding of how you usually provide face to face care. You will need a solid understanding of the patient’s journey through your service.
2. Construction. Based on our research findings, you need to discuss them with your client. There is the moment when you draft innovative solutions and delve into user journeys. We identify the most promising ideas based on jointly developed options. Service design can be quite abstract. The main idea is to find key service touchpoints.
3. Strategize and develop Next, it is necessary to work with your clients to co-create a product roadmap and business strategy. Together with medical professionals, you develop an extensive plan of the envisioned telehealth design, listing interactions between users, new processes, and workflows. Also, don’t forget to define the physical and digital things that will be used. By the end of this step, you’ve created visual content and material to start the development process.
4. Taking it live. From our experience, we recommend turning digital and physical artifacts into minimum viable products (MVP).  MVP is essential to clinical trials. There is a product that has basic features and can be used to get feedback from the users.

After the main last modifications, it’s time for launch! At this stage, it’s important to provide testing to ensure that the envisioned workflow and interactions are happening as intended.

That’s it

To sum up, telemedicine is full of benefits for patients and healthcare providers. When people have had a taste of telehealth, they’re willing to continue using this convenient care option.

Telehealth’s future looks very bright, doesn’t it?

Also, it’s obvious to see continued strong growth and upgrade around devices, communication channels, telemedicine services, and telehealth platforms. Look for them to become increasingly user-friendly and convenient. As this happens, we can expect to see a resulting increase in users. After all, good design is the right way to improve engagement.

Designers will need to imagine themselves in both the patients’ and providers’ roles during the preparation for the start to create the design for telehealth. Every detail of a visit, from the method of scheduling appointments to the distribution of follow-up procedures, should be carefully planned to ensure the best outcomes and clear understanding.

We can expect to see digital pharmacies, virtual appointments, online triage tools, and remote monitoring gain in popularity. It may well become the new normal in healthcare.

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