Web-Based AI Medical Scribe

I need a secure, browser-accessible AI medical scribe that can 1) turn live clinician speech into text, 2) recognise medical terminology with clinical-grade precision, and 3) push structured data straight into an EHR through FHIR or HL7. Transcription accuracy must sit in the 95–100 % range, so please be comfortable fine-tuning models, adding language-specific dictionaries, and building post-correction logic.

The system must be entirely web-based, deployable to my cloud account, and compliant with HIPAA best practices. Python, FastAPI, React, WebRTC, or comparable stacks are all acceptable as long as latency stays low and security stays tight.

Start your message with the name of the similar project you have already delivered and, if possible, a demo link or client reference—this will be my first filter.

Deliverables
• Production-ready web app incorporating speech-to-text, medical-term recognition, and automatic EHR entry
• Source code in a private repository with setup instructions
• Video walkthrough of an end-to-end consultation flow
• Deployment script or container image ready for my cloud environment

Acceptance criteria
1. Live test shows ≥95 % transcription accuracy on supplied consultation audio.
2. Medical terms, drugs, ICD/CPT codes render correctly in the transcript.
3. Structured data posts successfully to our FHIR sandbox without manual edits.
4. No PHI leaves the specified cloud region; full audit log available.