🎙 AI Scribe Integration with EHR Workflow Simulator
This simulation demonstrates how an AI scribe integrates into the workflow of electronic health records (EHR), showing practical applications and potential benefits in a clinical setting.
The AI Scribe Drafts a Note, Standalone
Ambient listening produces a draft note outside the EHR.
- Ambient audio: Draft source (captured during the visit)
- None yet: EHR connection (note lives in the scribe app)
- Free-text note: Output format (SOAP-style draft)
- Required: Physician review (before anything moves forward)
A standalone draft, not yet part of the chart
The note exists only inside the scribe tool at this point.
Copy-Paste — The Lowest Integration Tier
The physician manually moves text from scribe app to EHR.
- Standalone / manual: Integration type (no API connection)
- 5–7 clicks: Manual steps (copy, switch app, paste, format)
- Higher: Error risk (wrong field or visit mismatch)
- Low: Setup complexity (works with any EHR)
Why copy-paste is the default starting point
No vendor cooperation is needed, so adoption is fast but manual.
API Auto-Population Into EHR Fields
The note lands directly in the correct chart fields.
- API-level: Integration type (FHIR or vendor-specific endpoint)
- 1–2 clicks: Manual steps (review and sign only)
- Structured: Field targeting (HPI, A/P routed correctly)
- Moderate–High: Setup complexity (requires vendor API access)
Removing the copy-paste bottleneck entirely
Data flows automatically once the API connection is approved.
Structured Coding and Order Pre-Population
The AI also suggests codes and drafts order entries.
- ICD-10 / CPT: Coding suggested (drawn from visit content)
- Yes: Orders pre-filled (labs, meds, referrals drafted)
- 0–1 clicks: Manual steps (confirm and sign)
- High: Setup complexity (deepest vendor partnership tier)
Billing and orders become part of the flow
Coding and order suggestions ride along with the auto-filled note.
Friction Drops, Technical Complexity Rises
Deeper integration trades engineering effort for less daily friction.
- High: Friction at basic (manual copy-paste every visit)
- Low: Friction at advanced (near-zero manual entry)
- Required: Vendor cooperation (approval gates deep access)
- Effort vs. friction: Tradeoff (the core integration decision)
The integration-depth tradeoff in one line
Less daily friction costs more upfront technical and vendor work.
Deeper EHR integration reduces manual steps but demands greater technical and vendor cooperation.
This simulation demonstrates how an AI scribe integrates into the workflow of electronic health records (EHR), showing practical applications and potential benefits in a clinical setting.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install