Health software. Audit-ready.
Healthcare software development where every record read is logged.
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Senior engineers
No juniors. No middlemen.
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Fixed price
Overruns are on us.
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Live in weeks
Weekly demos on staging.
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You own the code
100% of the IP, day one.
Healthcare software development covers clinical tools, patient portals, telehealth and medical AI that handle sensitive health data. In the EU that means GDPR special-category rules; US clients need HIPAA-aware design with access controls, audit logs and encryption. Yarify, a senior engineering team in Prague, builds this for hospitals, clinics and health companies, including medical AI with human review and HL7/FHIR integration with hospital systems.
Built in from day one
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Audit logs
Who saw which record, and when
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Least-privilege access
Roles mapped to real clinical work
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Human-in-the-loop AI
Clinicians sign off every output
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HL7 and FHIR
Connectors to EHR, LIS, scheduling
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GDPR by design
Minimised data, EU hosting
Healthcare software development we ship
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Medical AI software
Decision support, document summaries, triage assistants and classification, with evaluation sets, monitoring and clinician review.
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Hospital integrations
HL7 v2 and FHIR connectors with mapping, validation and retry queues, tested against real message samples.
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Patient portals
Booking, secure messaging, document upload, consent management and multilingual screens.
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Clinical workflow tools
Referrals, intake and reporting off paper. See replacing manual data entry with AI.
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Telehealth and monitoring
Video consultations, device data ingestion and alerting dashboards for care teams.
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Health product MVPs
A fixed-price first version with the security posture to pass a hospital procurement review.
Compliance without the theatre
We are engineers, not auditors. We hold no HIPAA certification, and no software is HIPAA compliant on its own. We make your compliance work straightforward.
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GDPR for health data
Minimisation, purpose limitation, consent records, subject access and deletion, and EU hosting where required.
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HIPAA-aware for US clients
Encryption, unique user IDs, session timeouts, audit logs and hosting where your provider signs a business associate agreement.
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Queryable audit logs
Append-only records of who viewed or changed what, exportable for your DPO or a hospital's security review.
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Medical device scope flagged
If EU MDR or FDA rules may apply, we say so on the scoping call, before the architecture is fixed.
Medical AI in production
AI software for a hospital: human review of every output, audit logging, integration with existing systems. Anonymised at the client's request.
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Medical AI That Drafts. Clinicians Decide.
AI software for a hospital: LLM-drafted clinical documents and imaging-report text, mandatory clinician review, full audit logs, GDPR health-data handling and an on-prem or private-cloud deployment option.
From data map to pilot
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Data map · Week 1
Every piece of health data: source, storage, access, retention. The backbone of your DPIA.
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Architecture and access · Weeks 1–2
Roles, audit logging, encryption, hosting region and an AI evaluation plan agreed in writing.
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Build on synthetic data · Build
No real patient data in development. Weekly demos for clinical stakeholders, pull requests in your repo.
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Validate and pilot
Integrations tested on real message samples, AI measured against the agreed set, then a controlled pilot with monitoring.
What drives the cost
Regulated builds cost more, honestly. Vendor surveys put compliance overhead at roughly $20k–$80k on top of an MVP, and regulated AI projects at 20–40% more. See the AI development cost guide.
The drivers: number of hospital integrations, whether AI affects clinical decisions, data residency, audit depth and user roles. Our price is a fixed written quote after a free scoping call.
Inherited a health app nobody trusts?
Get a free code audit. A senior engineer reviews security, access control and architecture and tells you in writing: keep, refactor or rebuild.
Request a free code auditRelated services
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AI development
Production AI, not demos. LLM integration, RAG, document processing and AI features built with evaluations, human review and GDPR-aware data handling.
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AI developers
Senior engineers who ship LLM features, RAG search and agents into real products, with evaluations, guardrails and cost control. Monthly augmentation or a fixed-price AI build.
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AI app development cost
What AI apps and LLM integrations cost in 2026: build ranges, the cost to integrate an LLM into an existing product, token and monitoring costs, and worked examples.
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Custom software development
Internal tools, client portals, CRM and ERP integrations, and workflow automation. Built by senior engineers on a fixed written quote, owned by you.
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Free code audit
A free, no-obligation codebase audit by a senior engineer. You get a written report: what is healthy, what is risky, and whether to keep, refactor or rebuild.
Questions buyers ask us
Is your healthcare software HIPAA compliant?
No vendor can honestly sell software as HIPAA compliant on its own, and we hold no HIPAA certification. Compliance depends on how you operate the system. We provide HIPAA-aware design: encryption, access controls, audit logs and hosting on providers that sign business associate agreements.
How do you handle GDPR for patient data?
We start with a data map: what is collected, why, where and for how long. Then minimisation, access logging, subject access and deletion, and EU hosting where required. Yarify is a Czech company, so we work under EU law and sign a data processing agreement.
Can you integrate with our hospital EHR?
Usually, yes. Most hospital systems expose HL7 v2 interfaces, FHIR APIs or both. We build connectors with mapping, validation and retry queues and test them against real sample messages. The hospital IT access process often sets the timeline more than the code does.
How do you make medical AI safe to use?
Outputs are drafts until a qualified person accepts, edits or rejects them, and each decision is logged with model version and input. We agree an evaluation set with clinicians before choosing a model and monitor accuracy after launch.
Is our software a medical device?
It might be. Software that informs diagnosis or treatment can fall under EU MDR or FDA rules. That is a regulatory question, so we flag it on the scoping call and recommend specialist advice early, then build to the change-control process your path needs.
How much does healthcare software development cost?
Market data puts a regulated MVP at the normal MVP range plus roughly $20k–$80k for compliance work, with AI adding more. We give a fixed written quote after a free scoping call, and on fixed-scope work our estimation overruns are our cost.
Keep reading
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Medical AI That Drafts. Clinicians Decide.
AI software for a hospital: LLM-drafted clinical documents and imaging-report text, mandatory clinician review, full audit logs, GDPR health-data handling and an on-prem or private-cloud deployment option.
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AI development
Production AI, not demos. LLM integration, RAG, document processing and AI features built with evaluations, human review and GDPR-aware data handling.
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AI app development cost
What AI apps and LLM integrations cost in 2026: build ranges, the cost to integrate an LLM into an existing product, token and monitoring costs, and worked examples.
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Python developers
Senior Python engineers for FastAPI and Django backends, data pipelines, LLM tooling and automation that touches money. Monthly augmentation or a fixed-price project.
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Fintech
Payment flows, trading and execution engines, risk controls, reconciliation and audit trails built by senior engineers who treat every cent as a test case.
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SaaS
Multi-tenant SaaS products with Stripe billing, onboarding flows and churn analytics, built by senior engineers who own the code from schema to deploy.
Health data, handled like it matters.
Book a free 30-minute call with the engineer who would build it. Leave with scope, risks and a fixed quote.