Healthcare software fails for the same reason every time — the engineering team didn't read the regulation. We did. HIPAA-native from line one, HL7 v2 and FHIR R4/R5 in the bones, IEC 62304 where the device demands it. We've built telemedicine platforms, remote monitoring systems, clinical AI, and the messy interop glue that makes American healthcare almost work.
Risk stratification, diagnostic assistance, and signal analysis. Trained on de-identified clinical data, evaluated against held-out cohorts, deployed with drift monitoring.
HL7 v2 → FHIR R4/R5 translation. Direct integrations with Epic, Cerner, Athena, eClinicalWorks. Mirth and Redox-trained engineers on staff.
Async messaging, video visits, e-prescription, and scheduling. WebRTC stacks tuned for low-bandwidth clinics, with offline-first patient apps.
Wearable telemetry, alert routing, and clinician dashboards. We've built the firmware-to-EMR pipeline for cardiac, neuro, and chronic-care programs.
IEC 62304 lifecycle. Class B and Class C device firmware. We've shipped on FDA-cleared and CE-marked devices in cardiac, motion, and respiratory categories.
PACS integration, viewer construction, and AI overlays on radiology. Cornerstone and OHIF-tier viewers, multi-modal annotation pipelines.
A US neurology clinic asked: could you give patients a six-hour warning window? Twelve months later we'd built the model, the wearable firmware integration, and the clinician dashboard. The 89.3% AUC is independently evaluated on a held-out cohort of 1,200 subjects. FDA pre-submission was filed in Q1 2026.
Every dataset we touch passes through a HIPAA Safe Harbor + Expert Determination workflow before a model ever sees it.
Every PHI access — query, view, edit — is logged immutably. We've used the same audit schema since 2014.
For each clause of HIPAA, IEC 62304, or FDA guidance we touch, there's a corresponding unit or integration test.