Healthcare software development services
Softwarethatworksintheroomwherecarehappens
We build healthcare software for health systems, digital health vendors, and medical software companies — pairing clinical workflow fit with disciplined handling of protected health information. Design decisions and data decisions are made together, not in sequence.
Where it gets hard
Wherehealthtechproductteamsfeelthepain
Adoption stalls when software fights clinical routines
Clinicians work in interruptions; patients work in anxiety. Interfaces that assume uninterrupted attention — deep menus, redundant data entry, desktop-only layouts — quietly die in pilots. Designing for the real context means observing the routine first, then shaping the tool around it.
Interoperability is the chronic drag
Patient data sits in EHRs, lab systems, billing platforms, and scheduling tools, speaking a mix of HL7 v2 messages and newer FHIR APIs. Implementations vary by vendor and version, terminology mapping is real work, and legacy feeds do not retire themselves.
Compliance overhead slows shipping when retrofitted
HIPAA, GDPR, UK GDPR, and — where software is a component of a medical device — IEC 62304 lifecycle expectations all shape architecture. Built in from the start, these are defaults; bolted on late, they are a rewrite.
What we build
Healthcareengineeringcapabilitiesacrossthestack
Patient & Provider Portals
Secure portals for appointments and intake, results viewing, secure messaging, referral tracking, and clinician dashboards — designed for the contexts they are used in: one hand, one eye, interrupted. WCAG accessibility targets treated as requirements from the first wireframe.
Interoperability & Integration
HL7 v2 interface work, FHIR-based integrations, SMART on FHIR app embedding, and connections to labs, billing, and scheduling systems. Terminology mapping and vendor test cycles treated as first-class scope.
Healthcare UI & UX
Research, interaction design, and design systems for clinical and patient-facing products, including usability passes constrained by real clinical settings. We design the boring parts — error states, confirmations, handoffs — because that is where patient safety and usability actually live.
AI-Enabled Applications & Document Workflows
Intake digitization, clinical document classification, and summarization assistance built with human-in-the-loop review: the model drafts, a qualified human decides. We frame AI as decision support and build the evaluation harnesses that measure whether it is helping.
Secure Data Platforms
Consent-aware storage, role-based access, audit logging, and de-identification pipelines for analytics. Data minimization is an architectural principle: collect what the workflow needs, retain it for as long as the policy says, and make both decisions visible to your privacy team.
How an engagement works
Discovery,build,andhardeningforregulatedhealthproducts
Discovery with workflow shadowing
We map your clinical routines, data flows, and every system PHI touches — not a requirements wish-list, but actual observation of how the software will be used.
Architecture with data discipline
PHI handling, consent models, access control, and audit logging designed as architecture inputs — not retrofitted after the build.
Incremental build with usability passes
Working software every increment, with usability passes using representative users before each release candidate is called done.
Integration and hardening
EHR vendor sandbox testing, failure-mode testing, and the security and documentation trail your clinical and compliance reviewers need.
Operate and evolve
Post-launch support, regulatory-driven updates, and documented backlog so the next phase starts from knowledge, not archaeology.
Compliance and security considerations
HIPAA's administrative, physical, and technical safeguards shape how US deployments are engineered: unique user identification, emergency access procedures, audit controls, integrity protections, and transmission security are the technical baseline your security rule assessments will test. GDPR and UK GDPR add lawful-basis handling, data subject rights workflows, and retention discipline for European users. Where your product is or contains a medical device component, IEC 62304 defines the software lifecycle — planning, requirements, traceability, and verification — that development must follow. We build the technical safeguards and the documentation your assessors need; the legal determinations belong to your regulatory advisers, and our architecture is designed to make their review faster.
Frequently asked questions
Questionshealthcareandhealthtechteamsaskus
We build software with the technical safeguards HIPAA expects — access control, audit logging, encryption, and the documentation trails your program needs. Compliance is an organizational program covering policies, training, and business associate agreements; no vendor can ship it as a feature. What we deliver is engineering output your compliance program can actually assess and certify.
Where the EHR vendor exposes supported interfaces — FHIR APIs, HL7 v2 feeds, SMART on FHIR — yes. Exact scope depends on the vendor program, your agreements, and sandbox access, so we scope integration work after reviewing those with your team rather than promising universal connectivity. Where no interface exists, we design the bridging layer and document its limits.
No, and we design so they never have to. We build AI as decision support with human-in-the-loop review: the model drafts or flags, a qualified human decides, and every suggestion is logged. If your roadmap includes diagnostic claims, that is a medical device pathway your regulatory team owns — we can implement what they specify, with the traceability the pathway demands.
Pragmatically. Most real deployments run HL7 v2 alongside FHIR for years, so we build interface layers that translate between them instead of pretending v2 will disappear. That keeps existing feeds stable while new FHIR-based features ship on top, and it gives you a migration path that can be scheduled rather than forced.
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