Healthcare AI Software Development | AI Solutions for Healthcare

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Why clients trust SolveIt

10+

years of experience

100%

customer satisfaction score

25M+

happy end-users

100+

in-house professionals

50+

reviews on Clutch

100+

solutions released

15%

certified experts

55%

seniors

30%

middles

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Healthcare AI software
built for real product impact

Healthcare AI software development works best when AI solves a clear product or operational problem.

AI can help healthcare products deliver faster patient support, smarter intake, better care coordination, reduced admin workload, more personalized digital experiences, and easier access to healthcare data.

Add smart features to patient portals and mobile health apps
Turn internal knowledge into AI assistants
Support caregivers, care teams, and administrators with better coordination
Modernize existing healthcare software with practical AI functionality

Reduce repetitive administrative work
Improve patient support and engagement
Make healthcare data easier to find and understand
Automate document-heavy workflows

At SolveIt, we help you define the right AI use case, design secure and user-friendly product flows, build the technical foundation, integrate healthcare data sources, and launch AI-powered software that supports your business goals without adding complexity.

Instead of building AI for the sake of AI, we focus on healthcare AI solutions that make your product more useful, efficient, and scalable.

Healthcare AI development services

Custom healthcare AI software development

Build AI-powered healthcare software around your product, workflows, and business goals.

SolveIt can develop patient-facing apps, internal tools, patient portals, AI assistants, dashboards, admin panels, workflow automation systems, and healthcare SaaS products. We cover backend, frontend, mobile, AI integration, APIs, QA, and post-launch support.

Develop for mobile

Develop for web

UX/UI design for healthcare AI products

Design AI-powered healthcare experiences that feel clear, safe, and easy to use.

We design interfaces for patient portals, mobile health apps, telemedicine platforms, caregiving products, admin panels, dashboards, and AI assistants – with a focus on clarity, accessibility, trust, and user control.

Create UX/UI

Craft for mobile

Healthcare systems and data exchange

Connect your healthcare AI software with the systems, data sources, and third-party tools it needs to work in real life.

We help link your software with EHR/EMR systems, patient portals, scheduling platforms, telemedicine tools, CRMs, analytics systems, wearables, health devices, internal databases, healthcare APIs, and HL7 FHIR data exchange.

Integrate systems

Generative AI and RAG development

Create healthcare AI assistants that work with approved content, internal documentation, product data, or controlled knowledge sources.

RAG-based healthcare AI solutions can support patient education, internal knowledge search, care guidance, healthcare FAQ assistants, document-aware AI tools, and SaaS copilots while keeping answers connected to relevant sources.

Add RAG to product

QA, security, and ongoing support

Launch healthcare AI software with careful testing, secure workflows, and long-term product support.

We test user flows, permissions, integrations, AI behavior, edge cases, mobile and web performance, and post-launch stability. After release, we can help improve features, tune AI behavior, add integrations, and support product growth.

Support your product

AI integration with existing healthcare software

Add practical AI functionality to your current healthcare app, patient portal, CRM, admin panel, or internal system without rebuilding from scratch.

We can add AI assistants, smart search, workflow automation, document processing, analytics, and personalization while keeping the core business logic in place.

Add AI to software

AI discovery and consulting

Validate your healthcare AI idea before investing in full-scale development.

We help define the right use case, product scope, data sources, integrations, risks, MVP roadmap, and technical approach. This is useful if you know where AI could help but need to understand what is realistic, secure, and valuable for your users.

Start with discovery

Let's shape your healthcare AI product

Let's talk

A production-ready healthcare AI product should answer key questions:

What data can the AI access?
Who can see what information?
When should the AI answer, and when should it escalate?
How are sensitive outputs reviewed?

SolveIt helps you build AI healthcare software with these questions in mind from the beginning.

We design healthcare AI products around secure architecture, responsible user flows, clear escalation, reliable integrations, and practical product value.

How are users informed about AI limitations?
How are logs, permissions, and user roles handled?
How does the AI feature connect with the rest of the product?
What happens when the model is unsure?
How will the system be tested and improved after launch?
How are sensitive outputs reviewed?

AI-powered patient assistants and healthcare chatbots

Guide patients, caregivers, and healthcare teams through onboarding, FAQs, appointment preparation, care instructions, and smart reminders directly inside apps and portals.

Healthcare AI chatbots and generative AI assistants improve patient experience while escalating complex or sensitive requests to human specialists when needed.

🔥Use cases

Appointment support / Patient education / Smart reminders / Care plan explanations / Personalized onboarding / Secure messaging support / Caregiver support

AI patient portals and mobile health app features

Enhance digital health products with AI search, record summaries, personalized content, and intelligent navigation.

AI helps users find lab results, care plans, documents, appointments, and medical instructions faster without moving through complex menus or contacting support for every basic question.

🔥Use cases

Patient record search / Lab result explanations / Appointment support / Document summaries / Provider messaging / Personalized health content / Mobile health app personalization

RAG-powered healthcare knowledge search

Turn approved care guidelines, internal documentation, medical content, and FAQs into a searchable AI-powered knowledge base.

For healthcare AI software development, RAG helps patients, caregivers, support teams, and clinical staff get faster, more grounded answers connected to verified sources.

🔥Use cases

Patient education / Internal knowledge search / Healthcare FAQ assistant / Care guidance / Support automation / Document-aware AI assistant / Healthcare SaaS copilot

Clinical workflow automation and care coordination

Automate routine healthcare workflows across intake, documentation, follow-ups, request routing, notifications, and internal coordination.

AI can help doctors, care teams, and administrators summarize updates, detect missing details, prioritize tasks, and reduce repetitive manual work.

🔥Use cases

Patient intake automation / Smart triage support / Follow-up reminders / Internal task routing / Appointment workflows / Admin dashboard automation / Care coordination

Medical document automation

Accelerate healthcare document processing with AI-powered recognition, data extraction, classification, summarization, and routing.

AI can help process referrals, lab reports, intake forms, insurance files, and internal records while keeping human review in sensitive workflows.

🔥Use cases

OCR / Medical form processing / Data extraction / Document classification / AI summaries / Internal document search / Admin review workflows / Referral processing

AI healthcare analytics and predictive insights

Turn operational, appointment, patient engagement, and product data into clear healthcare dashboards and decision-support insights.

AI healthcare analytics can support demand forecasting, care coordination visibility, risk scoring logic, operational reporting, and product performance tracking.

🔥Use cases

Patient engagement analytics / Demand forecasting / Care coordination dashboards / Risk scoring logic / Operational reporting / Healthcare product analytics / Service performance tracking

AI caregiving and care management tools

Support caregivers, families, patients, and care teams with AI-powered task planning, reminders, summaries, and coordination tools.

AI can help organize daily care tasks, generate concise updates, suggest next steps, and keep everyone aligned through alerts and shared care plans.

🔥Use cases

Care task planning / Medication reminders / Family updates / Daily care summaries / Shared care plans / Alerts and notifications / Caregiver assistance

AI healthcare MVPs and product enhancements

Help digital health companies and startups validate AI concepts, build healthcare MVPs, or modernize existing apps with practical AI features.

SolveIt can add AI assistants, smart search, workflow automation, analytics, and personalization without overcomplicating the core software.

🔥Use cases

AI MVP development / AI prototype improvement / Patient portal creation / Telemedicine software development / AI assistant integration / Existing app modernization

Build your healthcare AI MVP

Discuss your case, explore solutions, and build the right features!

Let's talk

Built with healthcare security and compliance
in mind

Healthcare AI software often works with sensitive user data, so security and compliance readiness should be part of the product architecture from the start.

We do not treat compliance as an afterthought. We help build the technical foundation that supports secure healthcare software development.

SolveIt can help you design and develop healthcare AI software with attention to:

Secure authentication
Consent-aware data flows
Data encryption
Audit trails

Secure API integrations
PHI/ePHI protection considerations
GDPR-oriented architecture
HIPAA-oriented architecture
Role-based access control

Human review for sensitive outputs
Permission management
Safe fallback scenarios
Logging and monitoring

Regulatory risk awareness

Not every healthcare AI product is a medical device. However, if your software supports diagnosis, treatment decisions, clinical recommendations, or other regulated healthcare workflows, the requirements may be different.

During discovery, we help identify product, data, integration, and regulatory risks early so your team can make informed decisions before development starts.

Healthcare AI software development experience

AI caregiving mobile and web platform

An AI-powered caregiving platform for families, caregivers, care recipients, and medical professionals in the US.

Key results:

AI Virtual Caregiver integrated

AI features added for emotional support, care coordination, and recommendations

iOS and Android apps launched

Web platform redesigned for a unified cross-platform experience

Legacy relaunch supported with discovery, audit, roadmap, and consulting

Blood pressure monitor AI app

An AI-powered iPhone app for tracking blood pressure, heart rate, cardiovascular trends, and personal health history.

Key results:

AI Health Assistant added for personalized insights and recommendations

Photo-based blood pressure result scanning supported

Heart rate and pulse monitoring enabled through the smartphone camera

Charts, trends, and PDF reports added for long-term tracking and sharing

Apple Health integration added for a unified health overview

Medical center app

A healthcare product ecosystem for a network of medical centers, including a mobile app for patients, a web app for doctors, and an admin panel.

Key results:

Mobile medical app for patients delivered

Web medical app for doctors developed

Admin panel added for patient-doctor communication

Appointment scheduling, test results, e-prescribing, and visit history supported

Integrations and scalable architecture prepared for clinics, doctors, payments, email, and SMS

Dental care website redesign

A responsive website redesign for a subscription-based dental care provider in Sweden.

Key results:

Full UX/UI redesign delivered

Responsive React website developed

CMS and backend booking integrations added

Conversion flow improved through clearer structure and messaging

Tracking, analytics, heatmaps, SEO, and mobile usability improved

Telemedical web app

A telemedicine web app for a private clinic network to support doctors, patients, and branch administrators across online and offline workflows.

Key results:

Web app for doctors delivered

Admin panel for clinic management developed

Appointments, patient profiles, lab results, and prescriptions supported

Chat and video consultations added for remote patient communication

Clinic workflows optimized with secure medical data handling

View our case studies

Let's talk

Our healthcare AI
development process

AI, ML, and LLMs

OpenAI / GPT-based systems / Gemini / Google ML / TensorFlow / LangChain / RAG systems / AI agents / NLP / Machine learning / Recommendation engines / Computer vision / Document processing / Smart search / Twilio Segment

Frontend and mobile

React.js / Next.js / React Redux / HTML5 / JavaScript / TypeScript / Tailwind CSS / Flutter / React Native / Swift / Kotlin / Java

Backend, APIs, and data

Node.js / NestJS / Express.js / Java / Kotlin / Spring Boot / PHP / .NET / REST API / Swagger API documentation / PostgreSQL / MongoDB / Redis / SQL / Vector databases / Data pipelines

Cloud, security, and monitoring

AWS / Azure / GCP / Cloud storage / Docker / CI/CD / Firebase / Sentry / Datadog / Crashlytics / Google Analytics 4 / Mixpanel / Amplitude / SonarQube

Healthcare integrations and product services

Healthcare data

FHIR / HL7 / SMART on FHIR / Redox / Health Gorilla / eClinicalWorks / NextGen / MEDITECH / Allscripts / DrChrono

Authentication

Auth0 / Okta / Firebase Authentication / Azure Active Directory

Communication

Twilio / SendGrid / Firebase Cloud Messaging / Apple Push Notification service / Video consultation APIs / Secure messaging

Payments

Stripe / PayPal / Braintree / Adyen / Chargebee / Recurly

Health data

Apple Health / Google Fit / Wearable device integrations / Health tracking APIs

Documents

Cloud storage / Secure file sharing / OCR / Document management systems / Internal databases

Why choose SolveIt for healthcare AI software development?

Practical AI implementation

We focus on AI features that can be designed, built, tested, and supported in a real product environment.

That includes assistants, automation, RAG systems, analytics, document processing, personalization, and workflow intelligence.

Security-minded development

Healthcare software needs careful attention to sensitive data, access permissions, system reliability, and secure integrations. We design the technical foundation with these needs in mind from the beginning.

Product-first approach

We do not add AI for the sake of AI. We help you identify where AI can create measurable value for patients, care teams, administrators, or your business.

Long-term product support

Healthcare products often evolve after launch. We can support your product with new features, integrations, maintenance, optimization, and scaling.

Healthcare, AI, web, and mobile in one team

You do not need separate vendors for design, AI development, backend, mobile apps, and product support. SolveIt provides a full-cycle team that can take your healthcare AI product from idea to launch.

Strong mobile and web development expertise

Many healthcare AI products need more than an AI feature. They need a complete product experience. SolveIt has deep experience building mobile apps, web platforms, admin panels, backend systems, and APIs.

Client reviews

Head of IT, DentMe

Carl Tennberg

“The project delivered clear, measurable outcomes that demonstrated both visual and business impact. We saw a noticeable improvement in conversion rates after launch”

Head of Digitalization, Reganosa

Rocío Vega Martínez

“The entire SolveIt team got involved in the project to understand the value they could bring to us and our clients.”

CEO & Co-Founder, Baibe Bytes AB

Eva Leach

“We were very happy with both the progress and the end result. Knowledgeable and friendly staff. Hardworking and good deliverables.”

CEO & Co-Founder, Out Co.

Anna Harissis

“They are a very communicative and kind team. They were excited about the project and they helped us complete the app quickly and beautifully.”

Founder, ModMatch

Stephanie Scott

“This is a great company to work with, and I'm extremely happy with my decision to work with them.”

CEO & Founder, RVista Ventures

Dan Traux

“What impressed me most about SolveIt was their unique blend of creativity, hunger, and intelligence.”

CEO, IT Company

Nick Young

“The responsiveness of the team members was highly commendable. They were all more than willing to jump in, answer questions, and iterate on our deliverables.”

Content Creator & CEO, LUT Studio

Georgy Romelashvili

“SolveIt impressed me with their design skills. Users really like the app. They appreciate the usability and easiness to use it!”

Indie Hacker, Vibely

Aibek Mazhitov

“Their professionalism and attention to detail truly set them apart. What impressed me most about SolveIt was their deep expertise and ability to fully understand my vision.”

Founder & CEO, ClapClapBoom

Mike Lyon

“They know how to deliver and are the utmost professionals!”

Co-Founder, Foreteller

Cozmin Fatul

“What impressed me most about SolveIt was their genuine willingness to help at every stage of the project.”

CEO, Hemie

George Mata

“Their innovative approach, combined with their commitment to our project's success, truly sets them apart.”

Executive, MyRaceData

Markos Iakovidis

“The team was very professional, delivering each milestone of the project on the agreed deadlines.”

Founder & CEO, Gumb

Dominik Frei

“They were flexible, pivoting when we needed to change the project scope. We felt like a team with common goals.”