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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.

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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 weaknesses. 

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.

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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.

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• 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 services.

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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.

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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).

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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.

You've probably experienced some inconveniences while navigating any web or mobile app, and this irritated you a lot, especially, when you were limited on time, right? A similar situation may occur to your app’s or website’s users if your development team makes these most popular mistakes.

Case #1 — Skipping User Profile

If you are aiming at crafting a truly bad UI design, don’t even try to figure out who your target audience is. And vice versa, if you wish to produce a good outcome, do make sure you have ascertained the user's preferences, needs, and the so-called “pain points”. If you address the customer's headache to the point, you will get positive feedback in return.

Consequences you should avoid:

• poor designs that may fail to address the expectations and encourage people to switch to another website or app;
• time wasted by users because they were unable to meet their needs through your solution.

Solutions to fix the problem:

• in-depth customer research, including interviews;
• creation of user personas;
• regular usability checks and testing (both alpha and beta) to make sure each element and user flow is as convenient as possible.

Case #2 – Complex, Complex, and a Bit More Complicated

There is a reverse effect, too. When developers strive to incorporate as many features as possible, especially the advanced ones, in the end, they may build bad interfaces.

Consequences to avoid:

• disorientation – the user may wander from feature to feature;
• lots of time needed for app/website onboarding and achieving an “expert” navigation level;
• low conversion rates.

Solutions to fix the problem:

• simplicity is above all, especially in terms of hierarchy design;
• templates must be consistent, so make interactive elements and the overall navigation coherent.

Case #3 – Ignoring Accessibility

Ensure that your app is easy to use by everyone, including people with disabilities.

Consequences to avoid:

• ethical and legal issues – non-compliance with the basic norms may lead to fines and blocking of the application/web resource;
• users with disabilities are excluded from the pool of the target audience;
• forming a negative brand appearance.

Solutions to fix the problem:

• adhere to the generally-accepted norms and best practices (you can find them in the WCAG 2.0 guidelines);
• utilize semantic markup;
• test your solution thoroughly before its launch.

Case #4 – Mobile Apps Appear in a Ban

As people use smartphones and tablets throughout the day, ignoring the peculiarities of mobile app development may become a catastrophic mistake.

Consequences to avoid:

• it is easy to lose a significant part of your potential users in a few seconds, as soon as they find out there is no mobile app on app stores;
• lower audience engagement score;
• poor navigation experience.

Solutions to fix the problem:

• develop a flexible UI/UX design that operates smoothly on multiple screen sizes;
• adopt a mobile-first design approach;
• test an app on devices with different form-factors.

Case #5 – Forgetting about the Balance between Appearance and Functionality

It is more than bad if you compromise one of these aspects. In fact, your app should solve the users’ tasks and be beautiful at the same time.

Consequences you have to avoid:

• building a reputation of a brand with “that poor design and bad user interface”;
• frustrated customers who like some aspects and hate other ones.

Solutions to fix the problem:

• prioritize functionality over appearance a bit – emphasize responsive designs;
• make sure these two aspects are coherent.

Case #6 – Following the Trends Blindly

There may be many trends. Still, be mindful when using them and pick only those that are coordinated with your solution’s concept.

Consequences to avoid:

• making your app too flashy;
• creating a solution that is similar or even identical to another one, especially a very popular one.

Solutions to fix the problem:

• develop your own personalized interaction design and follow it;
• be mindful and balanced when following some mobile design trends;
• avoid copyright issues – this is actually one of the most severe UI problems.

Case #7 – Overloading Users with Lots of Irrelevant Info

Trying to provide as many details as possible may sometimes have an adverse effect.

Consequences you should avoid:

• breaking your users’ minds with the irrelevant and unnecessary information;
• confusion because of numerous conflicts between the datasets;
• mistakes in the descriptions and other blocks of information.

Solutions to fix the problem:

• ensure there is a visual hierarchy between the separate information blocks;
• make sure it contrasts the rest of the space well;
• include relevant information solely;
• keep it brief, polite, and to the point.

Case #8 – Misleading Customers with Numerous Buttons and Links

Any excessive features will only worsen the overall impression a customer may have. Make sure you double-check that when the story comes to buttons and redirects. Keeping all the things as simple as possible is among the primary usability principles.

Consequences to avoid:

• including too many links and buttons, among other duplicating ones;
• providing irrelevant links.

Solutions to fix the problem:

• limit the number of redirects and buttons.

Case #9 – Pop-ups Bombarding

It is difficult to find something more irritating than pop-ups. When a developer foresees dozens of such features appearing once a user accesses an app, the situation turns into a nightmare.

Consequences to avoid:

• confusing users with unnecessary information and features;
• making them leave.

Solutions to fix the problem:

• be mindful about adding pop-ups – make sure they look well, and their number is not excessive;
• avoid those pop-ups that are difficult to close once they appear – let your users decide, they will be grateful only.

Case #10 – Avoid Any Upgrades and Optimization

If your customers are experiencing any interface issues, and you, as a service provider, prefer not to notice their complaints and respond to them, that is the right way to a failure. The issue is especially urgent if the interface is slow and lacks responsiveness. 

Consequences to avoid:

• you leave your customers dissatisfied and make them switch to using a more user-friendly alternative;
• lower conversion rates.

Solutions to fix the problem:

• regularity test and fix UI issues as they appear;
• optimize features and images to make them load smoothly.

Bottom Line

The 10 most widespread mistakes listed in this article commonly adverse the overall user navigation and even make clients leave. Save this article to check the things to refrain from. If you would like to request proficient help with fixing these UI design mistakes and other possible drawbacks, get in touch with us. Our developers are keen on excelling in designs and functionality, so they will elaborate on truly effective solutions for your product. 

Digitalization fosters the development of all sectors of the economy, making them simpler and more responsive to people's needs. If previously customers and services interacted mostly in person, spending a significant amount of time on each side, now it is possible to shorten the distance to effective solutions. AI developments make it possible to solve typical problems quickly and effectively. In fact, only complicated and non-standard issues are left for a support department.

Many users and business owners are still a bit skeptical about AI developments. In this overview, we will cover the widespread and effectual AI instruments that can strengthen engagement shortly, provided that they are arranged properly. Let's take a deeper look at how two of the most popular AI instruments function. In addition, we will also cover why the apps fit nearly any commercial enterprise. It is definitely now already – the future belongs to them as well.

What is a Chatbot?

This is a specialized software app designated with the purpose of ascertaining the intent of a person's message and picking the most relevant answer in return. Thanks to the conversational interface, chatbot analyzes any input provided by a visitor and highlights the core phrases that mark the user's intent. If you have doubts about whether this is possible to make accurately, there is a simple point here. Statistics and analytics help to shortlist the most common requests and elaborate on the responses to the point. This is the basic original approach. 

The further tech development enabled the creation of a separate AI enabled chatbot system. It is trained on extensive volumes of data and implements machine learning (ML). The latter allows these apps to “brainstorm” an extended range of non-scripted, organic replies to the requests that visitors input. This advancement is coherent with other hardware and apps that a company utilizes.

What Is Conversational AI?

A conversational AI is actually a comprehensive development that includes chatbots too. This means that it covers text and voice altogether. A conversational bot is frequently treated as an upgraded version of a classical textbot.

In addition to ML, conversational AI has implemented natural language processing (NLP). It helps the tools to figure out the viewer's intent correctly and proceed with a deep interaction, respectively. The core advantage of integrating conversational AI is the possibility to emphasize and expand maximally the essence of the message conveyed. That is a point that classical chatbots fail to deliver under any terms. If a company devotes extra resources to enhancing its AI instruments, the latter operates maximally close to human behavior.

Overall, the classification of types of conversational AI fully illustrates the highlighted points:

• AI textbots – handle a textual conversation with the visitors;
• Voice assistants – more intelligent dialog that stands on a spoken language procession;
• Virtual assistants – all-inclusive support with resolving multiple assignments, with an emphasis on textual and voice inputs jointly.

Chatbots (CB) vs Conversational AI (CAI): Brief Comparison

While exploring the nature of the said technological upgrades, it is worth noting that there are far more differences between them that do not lie on the surface.

A classical chatbot and a conversational bot pursue the common aim of optimization and, therefore, guarantee a positive effect on dealing with the website viewers. However, an AI voice bot upgrades the overall communication with the visitors since it adds a voice in addition to the textual support. Therefore, the second one guarantees extra positive outcomes, unlike typical chatbot apps.

Why Choose Conversational AI Over Traditional Chatbots

On balance, a conversational AI-based bot obviously can guarantee extra positive outcomes compared to classical tools, including:

• Better engagement in the communication with the visitors – classical textbots will fail to show the answers outside the scope of the databases of replies; CAI will proceed and succeed with addressing all the inquiries; in other words – CB is rigid while CAI possesses more flexible algorithms.
• Contextual analysis – CB will fail to do this again limiting its effort to the intent only, CAI will cover both equally well. The latter tool delivers customized replies.
• Multitasking – typically, users input several issues to solve and want to know everything at once. Under such terms, CB will recognize one intent only, typically, the first one, but it fails to do so with the rest of the issues. On the other side, CAI will analyze and reply to all the intents that a user indicated in one's message, attributed to the essence of what has been communicated. 
• Scalability – CB is not integrated with the remainder of the tools that a company uses, therefore, they may operate a bit haphazardly. On the other side, CAI is more integrated into the entire IT architecture that a company has built. In addition, it is possible to assess CAI's performance results more precisely.

There is also one scalable and impressive outcome – it is estimated that chatbot conversation apps have facilitated getting the retail sector extra $12 billion in 2023.

Which Solution Suits Your Business Best

It is not likely possible to craft a one-fits-all conversational chatbot solution since, in this case, we survey a very flexible technology. Indeed, it can be modified, highlighting the goals and tastes that a business communicates. This tool can truly address effectively all the challenges that a service provider may face while interacting with its customers. 

Overall, there are several filters to apply when building an AI solution tailored to your actual needs:

• Commercial plans – typically, AI solutions are requested when it is necessary to (i) upgrade the current level of user happiness, or (ii) enter a new level of operation. AI developers address each case individually to make the tech solutions 100% workable as owners think this fits best. 
• Nature of dealings with the visitors and clients – pre-evaluation of the client database and preceding dealings are always made before integrating tech solutions. To this end, it is worth noting that for standard requests and straightforward dialogs with visitors, textbots may suffice. Variable and compound dialogs will demand conversational AI, of course. 
• Viewer's profile – a target audience should be assessed precisely in this course. Nuanced and contextual dialog is very important for better user satisfaction. 
• Budget – it is crucial to find a balance between the funds needed and the earnings AI tech solutions promise to bring.
• Measurable outputs – textbots are rough to measure the effect of their performance on a business. Conversational AI solutions succeed in turning the statistics into gains, which are scalable, of course.

Closing Line

Almost any instrument can be both helpful and irritating. The way the work is arranged always affects the AI's performance and results. If this is done well, AI chatbots and conversational AI can work wonders and make your visitors love you.

Merely brainstorm ideas; perhaps they may even inspire the next developments within the IT sector, ensuring the next upgrade of user engagement. We are ready to ease your life if you find that a bit complicated. Our vast expertise and impressive portfolio enable us to elaborate on and bring to life even the most extraordinary solutions that perfectly align with a business's nature and purpose. Contact us, and we will offer some truly fitting ideas for your business to help it grow further.

The healthcare industry is an area that strongly needs innovations at all times. Diseases constantly evolve, and the care methods should go one step ahead. Infrastructure in healthcare and streamlined communication are not the last points in fostering positive swifts in this industry. These two elements, in conjunction, create favorable conditions for bringing innovations or merely positive changes. The more automation and advancements are introduced, the more effort can be devoted to curing and preventing diseases. That is why the Medical Internet of Things is so emphasized nowadays. Its role is impossible to overestimate, indeed.

Essence and Aim of the Internet of Medical Things (IoMT)

IoMT stands for a tech advancement that envisages the mutual coordination of various elements inside the health system, such as medtools, apps, and other arrays that facilitate steady and ongoing data circulation. The pillar objective of the IoMT is to foster and ease the non-stop collection, handling, transmitting, and sharing of the medinfo among the interested subjects. Most typically the latter ones are state authorities, hospitals, and other members of the healthcare industry. 

Among the main deliverables that IoMT ensures are multiple options to track and manage the state of patients on a real-time basis. It also makes possible timely cure and disease prevention. Variable IoMT devices are already utilized for these purposes – health monitors, intelligent implants, remote diagnostic tools, and patient tracking systems, to mention a few.

How IoMT Works at a Glance

This tech approach is aimed at connecting multiple physical devices, including sensors and implants, through the Internet networks, most typically Wi-Fi. This endeavor is accomplished in order to grasp and transfer the most up-to-date info regarding the patient’s state. 

IoMT also makes it feasible to collect a large scope of data and ascertain the outcomes of treatment as well as the tendencies of disease evolution. At a glance, the said technology is about multiple devices, software, informational systems, algorithms, and storage facilities. All of these elements are related to each other instantaneously and deliver error-free info about the things that fall under the survey. 

Based on that info, medical personnel and other interested subjects highlight measures that have to be taken for the effectual care of the patients. IoMT is also in charge of elaborating on the list of actions that are needed to be accomplished to prevent similar cases from appearing in the future. Any information obtained during such an operation is extremely valuable and derives numerous benefits. 

Benefits of IoMT

This tech advancement is definitely under the stage of its next development and upgrade. Therefore, the number of benefits may be higher in the short-term perspective. As of now, it is proven that IoMT guarantees these positive swifts across the industry:

• Bolstered efficacy of performance within a healthcare institution – the work of the medical personnel becomes more effective and coherent enabling quick decision-making which is especially crucial in emergency cases. 
• Better and easier identification, including across multiple institutions – people don't need to input the same data many times. Once they have done that, it is transmitted through the internal channels of communication between the medinstitutions.
• Enhanced surveyance – IoMT software ensures timely and correct treatment as well as further post-medical support. The info is collected and processed steadily allowing the interested parties to make relevant conclusions regarding the efficacy of the chosen methods.
• Tackling diseases – collecting the info regarding the reasons why patients suffer from certain diseases enables scientists to elaborate on findings that are very precious for disease prevention. Most typically this is made by eliminating the conditions for such diseases to occur. 

IoMT issues and challenges

On balance, the adoption of the considered tech advancement is associated with specific threats and risks:

• Coherent interaction of various medsystems – frequently, such medsystems have multiple peculiarities of operation since different independent producers develop them. Making all the integrated systems not only joint but also coherent may be quite challenging sometimes.
• Effective information management – this covers clinical data monitoring, storage, and processing. The outputs have to be accurate, relevant, and up-to-date.
• Secure data handling – since the info processed is very sensitive in nature, it requires more advanced measures to be implemented. Fairly saying, this type of data is very nourishing for cybercriminals. Still, encryption and specialized IoMT security software can substantially decrease, even eliminate at all, the risk of data leaks. The goal of ensuring robust data protection is required not from the ethical perspective solely – this is also a compulsory rule among the norms applicable within the industry.
• Alignment with the regulatory standards – the applicable legal rules are quite strict, taking into account the essence of services. To this end, a failure to comply with such often leads to severe fines and other sanctions, up to the liquidation of a medical institution. In addition, the applicable regulatory framework is frequently updated, resulting in the need to take other measures allowing to remain compliant.

What Prospects Does the IoMT Have?

IoMT in healthcare definitely opens wider perspectives, among others, thanks to the following tech advancements:

• AI&ML implementation – these two elements are equally good at bolstering analytics and personal care approaches. This can be achieved through automation in decision-making. Most common cases will not require excessive time to ensure correct treatment – these technological advancements, like AI platform for clinical diagnostics, will handle them quickly, efficiently, and at lower costs.
• Bolstering the quality of wearables and implants – upgraded serviceability and preciseness will deliver more faultless data regarding the patient’s state, particularly one’s life parameters. The advancement will also enable quick and more productive feedback in response to possible changes, especially adverse ones.
• Automated internal arrangements – monitoring the inventory and machines plays a pivotal role in ensuring the straightforward operation of any medinstitution. The less time medical personnel devote to routine assignments, the more time caregivers have for their visitors. Even more, optimized internal flows reduce associated costs drastically as well. The quality of medservices is not sacrificed but boosted under such terms.
• Utilizing big data benefits – IoMT ensures the effective and timely handling of large volumes of medical information for multiple purposes: tendencies, patterns, typical treatment outcomes, opportunities for innovations, etc.
• Quality and upgraded involvement methods – future IoMT will facilitate far more effectual involvement of patients and their awareness of the medcare applied. Informing, consent giving, and providing the updates will be made automatically and faultlessly, preventing any unreasonable delays or discrepancies.
• Effectual dealing across the healthcare sector and the remainder of the sectors concerned – IoMT architecture opens another room for diverse independent service providers, financial institutions, and state authorities to interact and exchange data with each other swiftly and straightforwardly. As a consequence, the interested subjects can drastically bolster their performance and the speed of decision-making.

Conclusion

The Internet of Things medical application is a powerful tool on the way to ensuring top-rated services within the industry and effective disease prevention in the future. It already offers multiple benefits, such as on-time and effective performance, multifunctional diagnostics, disease treatment and prevention, cost-effective operation, and, finally, more accurate forecasts. This tech advancement will undoubtedly bring even more opportunities in the short term since it is evolving steadily. 

So, it was definitely a wise decision to incorporate such tech upgrades in a business yesterday. Now, they have already become compulsory things to have in possession. Our company is a reliable service provider experienced in custom medical software development. We will facilitate you to take the next step ahead by rendering top-notch services swiftly and at a reasonable cost. Enjoy the condensed expertise gained through the years.