Modernizing Healthcare Platforms with FHIR R4 and HIPAA-Eligible AI
Healthcare organizations face a dual challenge: legacy data trapped in siloed relational databases (such as on-premise FileMaker or SQL servers) and strict regulatory requirements (HIPAA, BAA execution, audit trails, and encryption in transit/at rest) when adopting modern web portals and AI automation.
Key Architectural Patterns from Production Telehealth & EHR Integrations
- FHIR R4 Standardization with Medplum: Mapping legacy patient, encounter, coverage, and questionnaire schemas into standards-compliant HL7 FHIR R4 resources on AWS-hosted Medplum clusters.
- Zero-Retention Vision AI with AWS Bedrock: Extracting structured insurance card subscriber IDs, group numbers, and clinical intake data using HIPAA-eligible AWS Bedrock multimodal models under an AWS Business Associate Agreement (BAA).
- Multi-Tenant SMART-on-FHIR & AWS Cognito Identity: Enforcing strict tenant isolation and role-based access control across patients, clinicians, and billing administrators.
- Resilient WebRTC Telehealth Diagnostics: Pre-call hardware verification (microphoneAudioContext frequency analysis, camera stream checks, and Azure Communication Services / WebRTC connectivity) to eliminate failed patient consultations.