The Problem
Healthcare organizations needed a secure, compliant way to extract structured medical data from documents at scale while maintaining HIPAA compliance.
Approach
Built a complete Django platform featuring AI-powered document analysis with Claude/GPT extraction, FHIR R4 integration for standardized medical records, optimistic concurrency merge system, and comprehensive HIPAA audit logging.
Outcome
Production-ready medical data extraction with 70-80% auto-approval rates, <200ms processing overhead, and complete audit trails. Implemented enterprise FHIR merge logic with 280+ unit tests.