A healthcare system that extracts structured data from medical documents. Uses Document Intelligence for parsing and OpenAI for interpretation, storing clean data with full compliance and audit trails.
Years of working inside the boundaries healthcare imposes — turning those boundaries into stable, compliant products.
HL7 v2, FHIR R4, DICOM, CDA and USCDI mappings, SMART on FHIR launch and bulk-data export for population analytics.
Azure OpenAI and Document Intelligence for note generation, medical coding (ICD-10, SNOMED, CPT) and prior-auth drafting — with eval frameworks and confidence gating.
Integration with Epic, Oracle Cerner and Athenahealth APIs, plus interface-engine work in Mirth Connect, Rhapsody and Cloverleaf.
HIPAA Privacy & Security, HITECH, 42 CFR Part 2, GDPR and SOC 2 Type II readiness — including de-identification (Safe Harbor & Expert Determination).
Azure Health Data Services, AWS HealthLake and GCP Cloud Healthcare API — designed for PHI residency and multi-tenant isolation.
HEDIS measures, risk-stratification models and quality-reporting pipelines feeding CMS submissions and value-based-care dashboards.
Built to meet these frameworks from day one
Every system is architected to meet — and stay within — HIPAA, HITECH, SOC 2 Type II, GDPR, HL7/FHIR R4 and 21 CFR Part 11 from day one, with confidence-gated human review and full provenance on every extracted value.
If HIPAA, EHR integration or clinical AI is the hard part — let’s talk.
