The Psychology Behind UX/UI Design

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

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

What is the definition of medical imaging software?

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

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

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

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

Examples of medical imaging software

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

RadiAnt DICOM viewer

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

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OsiriX MD

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

Horos

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

GE Healthcare Centricity PACS

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

Philips IntelliSpace Portal

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

Key features of medical image processing software

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

Tools for viewing and processing medical images

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

AI-driven image analysis 

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

Diagnostic and treatment planning tools

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

Medical data management tools

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

Collaboration tools

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

What types of organizations need medical image analysis software development?

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

• Cardiology.

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

• Dentistry.

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

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

• Neurology.

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

• Orthopedics.

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

• Mammology.

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

• Urology.

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

• Pulmonology.

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

• Gynecology.

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

• Traumatology and emergency medicine.

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

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

Medical imaging software development: Steps to follow

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

Concept formation 

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

Planning

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

Prototyping

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

Coding

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

Testing

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

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Deployment

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

Support and updates

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

Key tech specifications for medical imaging software development

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

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

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

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

Medical imaging software development cost

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

Implementation costs differ based on the size of the practice:

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

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

Challenges in medical imaging software development

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

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

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

• High performance and scalability.

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

• The complexity of big data management.

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

• Risks associated with cyber attacks.

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

The future of medical imaging software

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

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

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

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

• Artificial intelligence and machine learning.

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

• Cloud computing.

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

• VR/AR.

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

• Quantum computing.

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

• Blockchain.

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

Our experience in medical imaging software development

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

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

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

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

Wrapping up

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

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

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

1.  It sets the first impression

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

2.  Cost-Effective

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

3. Online 24/7

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

4. Advertising and Increase Sales

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

5. Customer Service Online

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

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

1. Reliability

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

2. Bad Publicity

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

3. Right development team

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

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

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

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

Creating a website from scratch

Required knowledge and tools:

1. HTML (Hyper Text Markup Language)

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

2. CSS (Cascading Style Sheets)

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

3. Scripting Languages

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

4. Database Management

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

5. FTP (File Transfer Protocol)

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

Creating a website with CMS

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

Design

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

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

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

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

1. Set your goal and strategy

2. Research the latest web design trends

3. Select a team for cooperation

4. Decide on your branding

5. Think about positioning and optimization of your content

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

Set your goal and strategy

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

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

Research the latest web design trends

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

Select a team for cooperation

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

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

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

Decide on your branding

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

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

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

Think about positioning and optimization of your content

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

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

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

Conclusion

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

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

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

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

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!