HealthTech · MedTech Enterprise
Real-Time Voice-to-EHR for Surgical Documentation
Surgeons spent 2+ hours daily on post-op documentation, leading to burnout and delayed billing cycles.
Real-Time Medical Entity Extraction OR Noise Filtering ICD-10 Coding HIPAA Compliant
Business Impact
90 mins saved per surgeon per day
The Problem
Surgeons are healers, not transcriptionists. Yet the average surgeon spends 2+ hours daily on documentation—dictating notes, reviewing transcriptions, correcting medical terminology errors, mapping to billing codes. It’s a leading cause of physician burnout and delays revenue cycles by days.
The Architecture
flowchart LR
subgraph capture [Audio Capture]
Mic[OR Microphone]
NoiseFilter[Noise Filter]
VAD[Voice Activity Detection]
end
subgraph transcription [Transcription Layer]
Whisper[Whisper v3]
Diarization[Speaker Diarization]
end
subgraph extraction [Medical NLP]
EntityExtractor[Entity Extractor]
MedPaLM[Med-PaLM 2]
ICD10[ICD-10 Mapper]
end
subgraph output [EHR Output]
StructuredNote[Structured Op Note]
BillingCodes[Billing Codes]
Review[Surgeon Review UI]
end
Mic --> NoiseFilter
NoiseFilter --> VAD
VAD --> Whisper
Whisper --> Diarization
Diarization --> EntityExtractor
EntityExtractor --> MedPaLM
MedPaLM --> ICD10
MedPaLM --> StructuredNote
ICD10 --> BillingCodes
StructuredNote --> Review
BillingCodes --> Review Near-Real-Time Medical Entity Extraction
The operating room is a challenging audio environment—monitors beeping, equipment humming, multiple voices. The system handles this through:
- Noise Filtering & VAD: Isolates the surgeon’s voice from OR ambient noise using specialized audio processing
- Whisper v3 Transcription: Converts speech to text with medical vocabulary fine-tuning
- Med-PaLM 2 Extraction: Identifies medical entities—procedures, anatomy, instruments, findings—and structures them into standard operative note format
- ICD-10 Mapping: Automatically generates billing codes from the structured note
The surgeon reviews and approves via a simple mobile UI before the note hits the EHR.
Tech Stack
- Whisper v3 — Speech-to-text with medical vocabulary
- Med-PaLM 2 — Medical domain language model
- Azure OpenAI (HIPAA) — Compliant inference infrastructure
- React Native — Cross-platform surgeon review app
The Impact
| Metric | Before | After |
|---|---|---|
| Daily Documentation Time | 2+ hours | 30 min review |
| Terminology Accuracy | 85% | 98.5% |
| Time to Billing Submission | 3-5 days | Same day |
| Surgeon Satisfaction | Low | High |
Surgeons now complete documentation before leaving the OR. The system handles the heavy lifting; they just review and approve.