We engineer clinical-grade health technology platforms — HIPAA-compliant telemedicine systems, EHR integrations, remote patient monitoring infrastructure, and AI-powered clinical decision support — built to the interoperability, data privacy, and patient safety standards that healthcare organisations and their accreditation bodies require.
Healthcare technology operates in a uniquely unforgiving environment: a software failure is not a user experience problem, it is a patient safety event. HIPAA violations do not result in performance improvement plans, they result in multi-million dollar OCR settlements and reputational damage that follows an organisation for years. HL7 FHIR integration failures do not create support tickets, they create care coordination gaps that affect clinical outcomes. Healthcare technology engineering requires a different standard of rigour — one that treats patient data with the same care that clinical staff treat patients, and that treats system availability as a clinical obligation rather than an engineering aspiration. We bring that standard to every healthtech engagement we accept.
We conduct a HIPAA Security Rule and Privacy Rule assessment before any technical design is finalised — mapping PHI data flows, identifying required technical safeguards, and designing a Business Associate Agreement framework that satisfies your covered entity obligations. Security architecture is documented for OCR compliance demonstration.
We implement HL7 FHIR R4 and HL7 v2 integration layers that connect your platform to Epic, Cerner, Allscripts, and athenahealth — with SMART on FHIR launch support, clinical data normalisation, and terminology mapping across SNOMED CT, LOINC, and ICD-10 code systems.
We build HIPAA-compliant video consultation infrastructure, appointment scheduling systems, e-prescribing workflows, and patient-provider messaging platforms — with the latency optimisation required for remote clinical examination and the device compatibility that supports diverse patient populations.
We design IoMT data pipelines that ingest, normalise, and analyse continuous streams from wearable devices, home monitoring equipment, and implanted sensors — with clinical alert logic, care team notification workflows, and EHR writeback that integrates monitoring data into the clinical record.
We build and validate clinical AI models — diagnostic support, risk stratification, early warning systems — using FDA Software as a Medical Device (SaMD) development principles, IRB-approved training datasets, and validation protocols designed to satisfy clinical evidence requirements before deployment.
Our healthtech engineering team will assess your clinical workflows and compliance obligations to design a HIPAA-aligned platform architecture with a clear implementation path.