Healthcare Software Development
Services

Yes. We build to the technical safeguards HIPAA requires — access controls, audit logging, encryption in transit and at rest, automatic logoff and integrity controls — and work on infrastructure covered by a business associate agreement. Note that there is no such thing as a HIPAA certified application. Compliance is a property of your organisation and its processes, not a badge a vendor can issue. We build the technical controls and work alongside your compliance team.

Usually yes. Most modern EHR platforms including Epic, Cerner and Allscripts expose HL7 v2, FHIR or vendor-specific APIs, and we build against those. Older on-premise systems sometimes require an integration layer or scheduled data exchange instead of live API access. We establish what is actually available during discovery rather than assuming, because this is the single most common cause of healthcare project overruns.

For a defined scope we target a working MVP in 30 days and a core production build in 90. Healthcare frequently extends that: EHR integration approval, security review, penetration testing, clinical validation and payer certification all sit outside our control. We flag which of these apply to your project during the free solution architecture so the timeline is honest from the start.

It depends entirely on where you put it. AI that drafts documentation for clinician review, prioritises a radiology worklist or flags a likely claim denial carries low risk because a human decides. AI that makes autonomous diagnostic or treatment decisions is a regulated medical device in most jurisdictions and a different undertaking. We build the first category and will tell you plainly when a use case falls into the second.

Yes. For startups the work is usually MVP scoping, getting to a demonstrable product for funding or pilots, and building the compliance foundation early enough that it does not require a rewrite later. For established providers it is more often integration with existing systems, workflow software and adding AI to processes that already run. The engineering discipline is the same; the constraints differ.

HL7 v2 and FHIR for clinical data exchange, DICOM for imaging, ICD-10 and CPT for coding, SNOMED CT and LOINC for clinical terminology, and X12 EDI for claims and eligibility transactions. Which apply depends on the system and jurisdiction, and we confirm the set during discovery.