AI Medical Scribe v1.1

AI Medical Scribe v1.1

This release introduces the biggest expansion of the prototype so far, adding structured clinical extraction, a confidence-aware review workflow, local audit logging, client-side FHIR export, optional direct FHIR delivery, and stronger local privacy controls.

Added

• Structured extraction from transcript, notes, and summaries into clinically useful buckets
• Review mode with confidence highlighting, provenance cues, stale/needs-review badges, and quick actions
• Confidence indicators and low-confidence transcript filtering
• Local append-only audit log with export to text or JSON
• Client-side FHIR R4 document Bundle export
• Optional browser-side POST of FHIR payloads to a configured endpoint
• Structured Composition sections and optional clinical resource enrichment in FHIR exports
• Optional encrypted session storage using Web Crypto
• Passphrase unlock mode and session-only key mode
• App lock/unlock controls with inactivity auto-lock
• Ephemeral consultations, retention controls, purge-on-close, and stronger destructive deletion options

Improved

• Session history now supports richer review and traceability workflows
• Storage model clarified so FHIR exports are generated on demand and not stored separately by default
• Privacy documentation expanded to reflect FHIR sending and local credential handling
• Troubleshooting guidance now includes FHIR delivery issues
• Architecture and roadmap documentation updated to reflect interoperability support

Notes

AI Medical Scribe remains a browser-based, local-first prototype with no project backend and no API keys. Data stays on-device by default, unless the user explicitly sends a FHIR payload to an external endpoint.