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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.

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.

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 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!

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.

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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Specifically, according to the Exploding Topics resource, in 2024, Android has a 70.93% global market share while iOS only has about 25% of it. However, both platforms are undoubtedly popular, and each of them, with the right approach to development and promotion, can provide product owners with a stable income. Below, we will reveal the differences and similarities between iOS and Android development, paying special attention to security and customization options.

Android vs. iOS App Development: Key Differences

Let's first look at the fundamental differences in Android and iOS development.

Programming languages

When it comes to native development, the most popular Android development language can be considered Java or Kotlin (they are both officially supported by Android’s original IDE, but the last one is preferable for new projects). As for native development for iOS, here, developers will need knowledge of Objective-C or Swift (generally speaking, this is the best option for new projects, while Objective-C is mainly used to support existing solutions that were originally written in this language).

Development environment

As the primary development environment for the Android platform, Android developers use the open-source Android Studio IDE, although in some cases their choice may also fall on Visual Studio, Eclipse, and some other development environments. At the same time, iOS developers usually resort to the help of Xcode with the integrated iOS SDK. 

Differences in design

iOS development requires following the platform’s own principles for user interface design listed in the Human Interface Design Guidelines (the main aspects of which are color variety without shadows (Flat Design Depth), minimalism (Clarity), and content-first approach (Deference)). In the case of Android development, these are the recommendations for recreating Material Design (the main aspects of which are expressing the hierarchy of elements through their size, colors, and shadows (Metaphoric Nature), using bold typography to highlight important elements (Bold Graphical Design), visualizing reactions to user actions (Meaningful Animation), as well as adapting the design to devices of different form factors (Adaptive Design)). Also note that Android allows the development of applications for operation in Kiosk Mode – this will be useful for businesses presenting their services and/or products through software installed on corporate Android-based devices.

Hourly rates

According to Glassdoor, the average annual salary of an Android developer in the US ranges from $91K to $135K, while for an iOS developer this range is from $101K to $174K. From this, we can conclude that, on average, the iOS app development cost (if you stick to the hourly rate for specialists) will be somewhat higher compared to the Android app development cost, all other things being equal (in particular, the same number of supported device formats and OS versions).

Complexity of development

It is worth noting that native Android development tools and iOS mobile app development tools are quite easy to deal with and, in general, have a low entry threshold. That is why the complexity of implementing software for a particular platform should be considered primarily from the point of view of ensuring compatibility. The fact is that if you are planning Android development to cover as many user devices with different form factors as possible, your team will have to spend a lot of effort and time. Also, there is the need to provide compatibility with earlier versions of Android and, accordingly, adapt the software for devices that support them. Therefore, the development process for Android can be much longer than in the case of iOS, a platform that is characterized by a relatively small number of compatible user devices. On the other hand, for iOS development, the entire team must be equipped with macOS-based devices — only then will they be able to build the software and successfully test it in an emulator.

iOS vs. Android: Security and Privacy

The main difference between iOS and Android in terms of security lies in the fact that iOS security is more focused on providing strong software protection (which is facilitated by its closed nature and limited number of supported devices), while Android focuses on a combination of software and hardware protection (due to its initial open source nature, which can still be violated by individual vendors creating their own Android-based OSes, as well the variety of supported user devices). In the end, it is impossible to say that one of these operating systems is more secure or, on the contrary, more vulnerable, since by following the standards and generally accepted rules of secure development, you will be able to achieve optimal compliance for your software as well.

Which Platform Has a Bigger Market Share?

At the very beginning of this article, we indicated that Android is the undisputed leader in the mobile software market, with almost 71% market share. However, it is worth noting that the ratio of market shares between platforms may vary depending on the business niche for which the application is created. Moreover, there is rather old research that owners of iOS devices are more willing to download paid applications, while owners of Android devices prefer free software. As a result, this factor can determine your monetization opportunities for your app, too.

Which Platform Has More Customization Options?

In terms of customization options, Android gives developers more flexibility due to the open nature of the platform. Thus, they get more space for creativity, which allows them to implement non-trivial designs and functionality. In turn, the iOS platform is a closed ecosystem with its own strict compliance rules. This concept is aimed at maintaining uniformity of user interfaces, so it will not be possible to create something too non-standard on its basis.

Android vs. iOS App Development: Which One to Choose

Ultimately, we cannot say that development for any one of the platforms, be it iOS or Android, is more profitable. Everything depends on the niche for which the software solution is being implemented, its localization, and many other factors that determine the size of the target audience.

Additionally, it is important to be aware of app store fees for paid software and software with in-app purchases. In particular, iOS paid apps, in-app purchases of digital goods or services, and/or linking out to purchase digital goods and services on your website are subject to a 17% fee (or 10% If you're enrolled in the App Store Small Business Program/the Apple Video Partner Program/News Partner Program or renew a qualifying auto-renewal subscription beyond one year); also, if you use App Store payment processing and related commerce services for in-app purchases, you will be charged a 3% fee. As for Google Play, here, the fee is 15% on the first $1 million in annual revenue (or 30% on annual revenue exceeding $1 million), 15% on products with an auto-renewing subscription (regardless of annual revenue size), and 15% or less for developers who qualify for the Play Media Experience Program.

By the way, if you find that the ratio of potential users for each platform is approximately 1:1, you can consider the cross-platform app development option, which involves creating a single code base for iOS and Android platforms. In this case, you can save about 30% of the budget compared to developing two native applications, and also bring the launch date of your mobile solution closer. The only thing is that, like any other type of software development, this one also has some restrictions.

Regardless of whether you are considering cross-platform or native mobile app development, you can always choose us as a reliable service provider of custom mobile solutions. We will implement your business idea with the minimum possible budget without compromising its quality and select the best approaches and tech stack to ensure its competitiveness and profitability over the long term.

According to data from the Precedence Research resource, the worldwide SaaS market is estimated at USD 358.33 bln in 2024 and is expected to grow up to USD 1,251.35 bln by 2034 at a CAGR of 13.3%. Such demand is due to the ease of deployment of such solutions (instead of local installation, access to them is possible from any device with a purchased license where there is an Internet connection), as well as often extensive customization options. If you would like to launch your own SaaS solution, but are not yet sure about the final list of features, you should consider the SaaS MVP development option. 

What Is MVP in SaaS?

A minimum viable product (MVP) in the context of SaaS development is a version of a product where only the key functionality is implemented – that is, the one that determines the value of a specific SaaS solution for the end user. The goal of a SaaS MVP is to reduce development time by cutting down on secondary functionality, and to obtain user feedback to determine the course of implementation of a full-fledged SaaS version. 

SaaS MVP Development Benefits

What are the benefits of SaaS MVP development? Let’s find them out right now.

Ability to competently plan a budget and attract investments

Compared to implementing a full-fledged SaaS solution, MVP development is cheaper, since its task is to allow the target audience to test its key functionality in practice, without any excesses in the set of features and user experience (UX) design. This simplifies budget planning, too, as it does not require colossal expenses from the project owners from the very beginning. Also, thanks to this approach to development, its speed increases. Therefore, the working product can be presented to potential investors a few months from the start of work, and it will not just be a business plan in the form of a presentation, but a functioning software solution that can be applied to solve specific tasks. Usually, negotiations regarding further investment in such a project with this strong attribute (an MVP) are successful.

High productivity of the development team

Since an MVP has a limited number of features, your team will be freed from optimizing user interface. Therefore, work on the MVP will proceed faster. In addition, when developing such a software version, your team may gain valuable insights that were initially overlooked – they can also be implemented over time. Finally, when the solution’s functionality is limited, it is easier for developers to identify possible areas for improvement and, thus, address them in further development cycles associated with the launch of a full-fledged SaaS version.

Reduced time to market

An MVP approach allows you to release your solution first. Indeed, given the rapid development of the global SaaS market, this would be a wise move. A couple of months delay needed for implementing a full feature set could cost you the fact that your product's analog will appear and win the audience's favor first. At the same time, by launching your product as early as possible, you will also be able to start refining it earlier, too, ultimately receiving a SaaS platform with a lot of functions and advanced user experience after 9-12 months from the start of work on the project.

Common Challenges of Building a SaaS MVP

Along with all the benefits, it is also worth considering the possible challenges associated with SaaS MVP development.

Impossibility of applying the MVP concept to absolutely all products

It is worth starting with the fact that MVP development is not a universal approach, and not all products allow for feature prioritization. In particular, this applies to the ones in which all functions are interconnected, and it is not possible to single out the most priority ones among them.

Breaks in development cycles

It is important to understand that the release of the MVP in its first version is not always followed by the development of a full-fledged product. Sometimes, the team has to implement one or two more solutions with limited functionality before its participants come to a full understanding of the concept of the SaaS solution. Since the collected feedback may relate to non-overlapping functions of the product, the preferences and dissatisfaction of real users may not be fully covered in the full-fledged product.

The need to adopt new approaches to software development

Quite often, the development of MVP is accompanied by the introduction of radically new practices, such as Agile development and DevOps. In the long term, iterative development and other methods can increase the team's productivity by about a third, but the adoption and training can also take a lot of time for the team.

Possible issues with the program code stability 

Typically, MVP development of a cloud-based solution implies speeding up each development stage (in particular, the one related to testing the program code and its optimization). In this regard, it often happens that teams pay insufficient attention to the code stability, and the MVP solution itself becomes susceptible to hacker attacks. That is why, regardless of the chosen development approach and methodology, developers are still better off adhering to generally accepted standards for user data security and using proven authentication/authorization methods, reliable encryption protocols, access rights delimitation, etc.

Difficulty of scaling

Even though the MVP is initially hosted in the cloud, its computing power may not be enough if the product becomes really popular. In this regard, when choosing a cloud provider to ensure a scalable architecture, it makes sense to initially focus on options that allow automatic scaling as the workload on the software changes. Today, such type of service is provided by AWS, Microsoft Azure, and some other cloud vendors.

Problems with long-term budget planning

Lack of a clear understanding from the very beginning of what set of functions will be present in the final solution can provoke difficulties with budget planning, which, in turn, carries certain risks for investors. Therefore, it is important for you as a product owner to discuss with them all possible risks and prospects of your MVP launch strategy at the early stages of your interaction.

How to Build a SaaS MVP

So, how to build SaaS product – you may ask. Therefore, let’s consider the main steps you have to perform to develop an MVP. 

Defining the target audience

First, you will need to understand who the target audience of your SaaS solution is and what they expect to get from it. In fact, you will have to collect demographic and behavioral data about your product users to determine the most important functionality for the MVP and provide them with the most comfortable ways to interact with it.

Market research

To give your SaaS solution a unique selling proposition (i.e., to make it stand out from the competition in some way), you will need to conduct preliminary research that will determine both market trends in general and help identify the strengths and weaknesses of your competitors.

Identifying core functionality

Now, you have everything ready to determine the functionality that is the highest priority for your SaaS solution. Usually, this is the functionality that allows you to solve one or two key tasks assigned to your product (that is, without it, it will lose its value for the end user).

Choosing a business model

At this stage, you need to come up with ways to monetize your product. Note that in the context of SaaS, this is most often the purchase of either a license for a certain period of use or access to advanced functionality.

Building a roadmap

Now, you can create a step-by-step plan for implementing your solution, from MVP to launching and supporting a full-fledged SaaS product. Note that this is necessary not only for presenting the prospects of your project to investors and stakeholders, but also for the technical team to make them understand in which direction to move.

Creating an MVP

At this stage, your technical team can begin to build MVP, i.e., implement its user interface, server requests, database requests, alpha testing, etc.

Deploying an MVP and collecting user feedback

Once your team is confident that the MVP meets the previously defined specifications and everything works as intended, you can deploy it to the production environment and begin beta testing – that is, testing it on real users to gather feedback on possible improvements. After that, you will have to prioritize the aspects highlighted by users and plan to implement them in subsequent development cycles.

How to Accelerate SaaS MVP Development

Finally, let’s consider a number of best practices that will help you speed up the SaaS MVP development process:

• Use Backend as a Service (BaaS) and low-code solutions to reduce the amount of work for your backend and frontend specialists, respectively;
• Choose a time-tested technology stack that all members of your development team are familiar with;
• Delegate individual tasks within your project or the entire project to an outsourcing service provider to eliminate the need to urgently search for talent with the necessary skills;
• Establish processes for collecting feedback from users from the very beginning of work on your project.

SaaS MVP Development with Darly Solutions

Would you like to build an MVP as a Service solution and are looking for a seasoned team of developers who will bring your business idea to life? In this case, feel free to contact us. MVP as a Service is one of the key areas of our activity, which you can see for yourself by requesting our portfolio. You can also entrust us with individual tasks within your project, such as QA testing or, for example, UI/UX design. Whatever the list of our services you choose, rest assured that you will be satisfied with the results of our cooperation!

The mobile apps market is rapidly growing. According to Grand View Research, the global mobile app market was evaluated at approximately USD 253 billion in 2023 and is going to grow with a 14.3% CAGR by 2030. That’s why the need for qualified mobile development specialists is so relevant today. 

At the same time, one of the key features of a competent specialist is knowledge of the software development life cycle (SDLC) and which of the existing models is best to use in a specific project. The following article will overview the most popular SDLC models and explain where to apply them for the best results. 

What is the Software Development Life Cycle (SDLC)?

The software development lifecycle is a methodology that guides the development team during the app creation process. Each of the development life cycle phases has its aims, timeframes, and challenges. Yet, a systemized approach toward software development ensures that the final product is of the highest quality. 

In comparison, there are other approaches to software development. For example, development teams can choose from the following options: 

• Application lifecycle management. It has a broader scope outside of the actual development process. It can include several SLDC development life cycle stages inside. 
• Software testing lifecycle. This method emphasizes debugging and elimination of possible errors in the product. 
• Product development lifecycle. This strategy includes market and product promotion after its development is complete. 

What Is the Purpose of the Software Development Life Cycle (SDLC)?

The SDLC’s clear division into development cycle stages ensures that software is developed in a controlled environment. The systematic approach helps to avoid such challenges as: 

• Budget breaches.
• Project overruns and crunches 
• Failure to meet the requirements 
• Expired deadlines

Creative freedom is important during the software development process. Yet, the SDLC approach ensures that all the creativity and revolutionary solutions are channeled constructively. 

While following the life cycle of software development, each team member knows what task they should do and its deadline. 

What are the 7 Phases of SDLC? 

There are seven common SDLC phases: 

1. Requirements analysis 
2. Planning
3. Design 
4. Development
5. Testing
6. Deployment
7. Maintenance

Let’s consider them in more detail.

Requirements Analysis 

It is the initial stage at which the developer's team evaluates the required features for the app. It defines how long the app will be in development, the budget’s size, and the deadlines. 

This step answers such questions as: 

• What is the objective of the app? 
• Is it an upgrade or a brand-new software? 
• What are the expected results? 

Planning 

The project can be planned after its goals and desired results are established. Planning in SDLC defines the technological stack and project roles. The project roadmap is also developed during the planning phase of SDLC. 

Design 

The software blueprint is created during the design stage. Ideas turn into features, architecture, and UI/UX design. Designing also includes consideration of the software's platforms and security as a part of SDLC processes. 

Design can undergo several iterations before reaching its final look. During this phase, teams usually create a software prototype to see how all the features work together. This phase concludes with design document specification — a text description of the app’s functionality to share with stakeholders and within the team. 

Development 

Development is the long-lasting of the SDLC steps. During this stage, the team implements planned features and functionality into actual software. Tools for progress tracking and version control, such as Git, are common in the software development stage.

Testing 

Testing comes after the implementation phase in SDLC. It is a rigorous process during which all software elements are evaluated. Testing can include: 

• Performance testing
• Security testing
• Integration testing
• Alpha and beta testing, and so on 

The result of the testing and debugging software development cycle phases should be a product meets its specifications and is ready for the commercial environment. 

Deployment 

Usually, the apps undergo testing and development in a secluded, special environment. Deployment implies transferring the software to the commercial space. The deployment phase includes final testing of the working product and gathering feedback from a limited audience. 

The product is ready for full-fledged commercial use when the software development stages are over. 

Maintenance 

Maintenance is the final stage of the SDLC cycle. It includes software updates, security, and performance optimization. An upgrade or upscale of the software may be required in the future. In this case, the SDLC begins from the first stage, and the major update undergoes all the steps mentioned. 

Most Common SDLC Models 

The SDLC standards are common across the industry and development teams. However, there are different SDLC models. Each model serves its own purpose and offers a different order in which the different phases are performed.

SDLC Agile Model 

The Agile SDLC model is the hallmark of modern industry. This model implies dividing the bigger tasks into smaller chunks and working on their implementation. The Agile method emphasizes communication between cross-functional teams and stakeholders. 

Agile also implies frequent feedback gathering and analysis. Rigorous quality control is also an integral part of the Agile model. 

SDLC Big Bang Model

The Big Bang model is an almost informal approach to the SDLC cycle. It ignores any planning or assessment and jumps straight into the coding. Such an approach is more risky than others. However, the model works best if delivery time is critical. 

The Big Bang model can work for you if you wish to experiment or test waters in new markets. 

SDLC DevOps Model

DevOps is a combination of development (Dev) and operations (Ops) teams to streamline the delivery of software products. The combined practices require service providers of highly skilled specialists. The main DevOps principles are continuous integration and delivery at the enterprise software development level. These methods help automate the process and streamline management tasks. 

The DevOps model can strain the budget. However, the result is worth the cost. The DevOps SDLC cycle ensures that the product is in a deployable state and can be swiftly modified. 

SDLC Iterative Model

An Iterative model is another representative SDLC cycle. Unlike the Agile model, iterative SDLC does not require continuous customer involvement. Besides, the iterative model has a more defined structure. 

The Iterative model implies iterating the software and making changes between the cycles. Such an approach works well for expanded teams and allows the desired results to be achieved without failing deadlines or breaching the budget. 

SDLC Lean Model

The Lean model is one of the oldest SDLC cycles that has persisted until today. It aims to achieve maximum efficiency in resource management. Unlike Agile, it focuses on the highest possible quality instead of close and consistent communication with the client. 

It also takes a broader than Iterative model approach and improves the overall development process rather than the product itself. Lean is more philosophy than a precise model. As an SDLC model, Lean will ensure the quality of the product and client satisfaction before everything else. 

SDLC Spiral Model

The Spiral model is a combination of Iterative and Waterfall models (this one will be discussed below), taking the best features from both approaches. The model consists of spirals, and each spiral has the following steps: 

• Planning 
• Risk analysis 
• Development 
• Testing

Such an approach allows risk mitigation at the early stage of the project. While being time-consuming, the Spiral model can be a fail-proof net for your project. 

SDLC Waterfall Model

If you are looking for something straightforward and easy to manage – the Waterfall model is your choice. It takes the SDLC structure at face value and follows each step consecutively. The Waterfall model has its risks. It is rigid, and if changes or feedback appear in later stages, it will be hard to implement them. At the same time, the Waterfall model struggles with scalability. 

On the other hand, it can spare the headache of complex management and task delegation. 

Conclusion 

Software development is a complex process that requires structure and precision. The Software Development Lifecycle provides such a structure. In seven steps, a software development team can clearly see goals and meet the client’s requirements. 

Various SDLC models fit different needs and project scopes, and we know how to work with all of them. If you need specialists for custom software solutions, we are ready to answer your call and create a high-quality product. Contact us to discuss your project in detail.

According to Statista, in 2020, there were 6.9 billion mobile users. The number will increase to approximately 7.5 billion in 2025. Businessmen, students, housekeepers, gamers, readers, and sportsmen – everyone will need an app to satisfy their needs, and the demand for mobile app developers is high accordingly. 

Yet, not every app finds its faithful audience. Only the best and highest-quality applications win the competition. Such applications require proficient mobile app development specialists. So, which skills distinguish a professional mobile app developer from a novice in 2024? 

Stick to the article and learn what relevant skills you should look for in a full stack mobile app developer. 

Top Hard Skills for Mobile App Developers 

Hard app developer skills are the backbone of any mobile app development process. They define professional competence and allow developers to bring ideas into working digital solutions. 

The most common hard skills for a mobile app developer are: 

• Proficiency in programming languages for mobile app development (Java, C++, or Kotlin for Android, Swift or Objective-C for iOS, or JavaScript, Dart, or some other that is used for cross-platform development);
• Frontend development skills (SDKs and frameworks knowledge, understanding platform requirements, ensuring compatibility with different devices and OS versions, etc.);
• Backend development skills (database management, performance optimization, ensuring security measures, experience with backend frameworks, etc.);
• User interface (UI) design (including knowing the specifics of Google Material Design and iOS Human Interface Guidelines);
• Knowledge of RESTful APIs;
• Performance optimization and memory management skills;
• Experience in working with version control systems;
• Knowledge of app stores’ and other software development standards (like GDPR, HIPAA, etc.).

Top Soft Skills for Mobile App Developers 

Hard skills are an essential but not the only necessary part of a developer’s competence. Soft application developer skills also play a critical role in CVs as they refer to knowledge and proficiencies related to communication and analytics. Also, they help organize the working process, solve problems, and build communication. When two developers with the same background in hard skills compete with each other, the one with stronger soft skills wins.

Top soft skills for a modern mobile app developer include the following: 

• Problem-solving 
• Team collaboration
• Project management
• Communication skills
• Attention to detail
• Creativity in app design

Most Important Mobile Developer Skills in 2024

Trends constantly change, but the demand for high-quality mobile applications remains the same. This block will explore the critical mobile app developer skills you should look for in a mobile app developer. 

UI and UX Design

It's all about creating what users see on their screen and how they will interact with it. Usually, specialists follow generally accepted design rules (for example, Nielsen Norman's Heuristics), taking into account the requirements of the specific mobile platform for which development is being carried out. At the same time, native development tools provided by Android and iOS in particular, Jetpack Compose and SwiftUI significantly simplify this task, so experience working with them in the list of the most-wanted mobile developer skills will be highly preferable.

Frontend Development Skills 

If we are talking about native development, the modern software engineer must have good programming skills in Swift for iOS development and Kotlin for Android development. However, some projects may also require knowledge of Objective-C, C++, or Java (for example, those that were developed a long time ago and need support), JavaScript or Dart (for cross-platform projects), or some other languages. Accordingly, the developer must have the necessary experience in frameworks for front-end mobile development, such as React Native, Flutter, Xamarin, SwiftUI, XCode, Android Studio, Native Development Kit, etc.

Backend Development Skills

The visual part of an app ensures the user’s engagement and experience with the app. The backend component is where the magic happens. A proficient back-end developer should know how to implement desired logic and manage the app’s inner data efficiently. A list of programming languages expands to Java, C#, Ruby, and Python, which are some of the most popular for backend development. Besides, a good backend developer should know how to work with mobile databases via SQLite, PostgreSQL, or MongoDB. Backend development also includes knowledge of API integration, which streamlines data exchange between an app's frontend and backend components. 

User Security 

Data safety and user authentication deserve additional attention. Knowledge of safe coding principles and best practices (i.e., using data encryption protocols, following the OWASP standard, and so on) is a marker of a skilled mobile app developer. Mobile developers must also have skills in conducting static application security testing (SAST) and dynamic application security testing (DAST). 

Knowledge of Mobile Platform Guidelines 

Due to the influx of applications to app stores, moderation has become stricter. Knowledge of the marketplace’s guidelines increases the chances of an app’s success. Actually, that’s why the list of iOS developer skills should include the knowledge of Human Interface Guidelines. He or she also should be familiar with Material Design guidelines for Android development. Knowledge of the review process should also be part of the developer’s competence. 

Mobile App Developer Skills by Experience Level 

The job market of mobile developers is versatile and can offer different levels of qualification. That’s why, if you are looking for a mobile app developer, you should also take into account a potential developer's performance. 

Junior-Level Mobile Developers 

Junior mobile app programmers are prospective specialists with no more than 2 years of experience. At this level, a specialist should be familiar with: 

• UI/UX design principles 
• Programming languages for mobile app development 
• Mobile app development frameworks 
• Version control systems and databases

It is important to understand that hiring a junior does not mean that you will have to supervise the entire project to get a good result in the end. These specialists can easily be entrusted with simple tasks (which will save you from overpaying for specialists with higher qualifications), up to 50% scope of work. 

Middle-Level Developers 

These are specialists with 3-5 years of experience. A middle-level developer's main focus is learning how to scale an application and ensure its security and operational stability. The following mobile application developer skills needed to reach mid-level app development proficiency are essential:

• Specifics of integration with third-party services and APIs
• Cross-platform adaptation
• Knowledge of the best security practices
• Asynchronous and multithreading programming
• Knowledge of popular architectural patterns like MVVM, MVC, MVP, etc

Vital Skills for Senior-Level Developers 

Senior developers usually have 5+ years of experience and lead development teams. They take on the most challenging and responsible tasks within a project and know how to solve them in the simplest way. Also, they can be experts in certain technologies, like AI, IoT, augmented reality, etc. Actually, here's why the knowledge of blockchain in mobile apps can be required for them. 

Senior developers help the rest of the team with ongoing tasks and can take on some managerial duties. Therefore, the CV of a senior mobile app developer would benefit from the following soft skills:

• Leadership
• Interpersonal communication
• Teamwork
• Time management

Most Underrated Skills for Mobile App Developers 

Technical prowess is paramount for cross-platform app development. Still, certain skills are often overlooked when hiring a mobile development specialist. 

Critical Thinking 

Critical thinking is a cornerstone of every other mobile developer skill. It lies in the base of problem-solving, code optimization, and debugging. A critical approach is the ability to remain flexible and tackle challenges from unexpected angles. 

It is hard to measure critical thinking in hard numbers. Yet, even a junior developer with strong critical thinking and analytical skills can greatly benefit a team. 

Creativity 

Creativity is an elusive but vital skill for a mobile developer. Successful applications become popular not only because of flawless technical execution. They innovate and solve users’ needs like nothing else. From AI in mobile apps to IoT integration, there are numerous ways in which new technological advancements can be used in mobile app development. 

There are numerous tasks that mobile apps can solve and help people with their everyday lives. A mobile developer's ability to be creative, innovate, and find what can be optimized is valuable at any professional level. 

Learning and Adaptability 

Constant technological advancement requires professional developers to update their skills. They should familiarize themselves with new technologies. Even senior developers have to keep up with the market evolution. 

If a developer has an open mind and is ready to learn new methods and software, they will be a valuable asset to your project. 

Conclusion 

A professional mobile developer combines several important skills. He or she knows both the backend and frontend aspects of mobile app development. They also know the programming languages and tools to implement app ideas in the most cost- and time-efficient way. Most importantly, a mobile app developer keeps an open mind. They think creatively and approach problems from unusual angles. Darly Solutions is ready to assist with your project if you need such professionals. Contact our dedicated team to learn more details.

Most likely you have used these digital tools at least once – Google Docs, Dropbox, and Azure. They are based on the SaaS model. Apart from this widespread one, there are other variations of cloud application services, such as PaaS and IaaS. You will find out about their differences in this article, so keep on reading it. ‍

IaaS, PaaS, and SaaS: Pillars of Cloud Services at a Glance

The highlighted models – IaaS, PaaS, and SaaS – are aimed at delivering digital tools and services to end users through the cloud on the subscription basis.

According to each aforementioned cloud model, end users don't have to pay for these services and tools one time – instead, as they are owned and supported by a specific vendor, the users are provided with entry credentials as they pay for a subscription. Only a steady web connection is needed to start using such a cloud application. At the same time, entire maintenance efforts in terms of cloud services remain on the provider's side. Even more, users are allowed to optimize their own facilities by offloading apps. Thus, they get more space while specific info is stored remotely on a secured server. 

Let's take a deep look at each of these variations:

• IaaS – stands for Infrastructure as a Service and implies access to demand compute, storage, and networking resources, according to the pay-as-you-go pricing model. In this case, we speak about the IT infrastructure used to arrange the operation of diverse tools and regular processes in the remote, end-user’s office outside the vendor’s premises. 
• SaaS – means Software as a Service and supposes that the cloud-based software vendor deploys it on its computing premises, supports it, and provides users with access to it as a ready-made web service. 
• PaaS – stands for Platform as a Service and consists of providing end users with a ready-to-use cloud platform for developing, testing, and deploying their own applications, from simple cloud services to end-to-end industrial systems.

Let's check these cloud service models in more detail.

IaaS Is about Infrastructure

When the IaaS access option is requested, users get numerous facilities –  servers, storage capacities, as well as network options, among others, –  to leverage them as if those could be available physically within their own premises. Overall, the IaaS meaning lies in ensuring steady connection between the end users and IT facilities; the latter ones are located in remote spots.

SaaS Is about Services

This is the most sought-after offer that supposes using apps that are hosted remotely. Based on individual credentials, end users obtain access to such tools to cope with regular personal or business tasks. In return, they pay a predefined price for a timeframe of leveraging SaaS (usually, this is one year or one month). Thus, SaaS meaning is to guarantee straightforward access to specific software under remote and subscription terms.

PaaS Is about a Platform 

It is a remote, cloud-hosted, platform aiming to produce, leverage, and support the operation of diverse apps. The facility holder owns all types of assets that guarantee steady operation. This is an all-in-one option comprising apps, systems, storage facilities, frameworks, functions, safety arrangements and protocols, backup copies, etc. PaaS meaning lies in forming a remote space where users can create, test, and run applications with specific functionality. For an oblivious reason, the PaaS variation is far cheaper in contrast when a user ensures all similar arrangements independently.

Public vs Private Cloud

But what about public vs private cloud – which of these options does each of the above models provide? A private option is entirely controlled by a single service provider without sharing the facilities with others. A public counterpart is offered to an unlimited number of external subjects who only intend to utilize specific offers. Most of the cloud providers are categorized as ones belonging to the second type.

But are there any intermediary options? Yes, there are hybrid cloud solutions, too, that are created and maintained on the so-called “edge” locations, i.e., thanks to both private and public facilities. 

SaaS vs PaaS vs IaaS: Distinct Features to Know

Each approach from the SaaS vs PaaS vs IaaS trio is associated with distinct peculiarities. We will look at them from the user’s perspective:

Choosing the Right Model for Your Case

When the story comes to making a choice, there are numerous pitfalls to take into account:

Bottom Line 

Leveraging software as a service is an efficient approach. It frees the assets owned by an end user and reduces one's expenses drastically. The single point is to have a clear overview of the project for which you request these external services. Therefore, you have to make a perfect match by saving this info with the comparison of sought-after models. 

If you require further assistance in selecting personalized solutions, please do not hesitate to contact us. Our team possesses a vast portfolio that includes cases of bringing multiple IT solutions of different complexity into life. Just share with us your individual preferences and requirements, and get a custom solution in return.