WoundScribe AI-Powered EMR
product
Six specialised AI agents work as one inside WoundScribe — drafting notes, reading wound images, suggesting codes, and catching audit risk before you sign.
The AI-native wound care EMR has arrived. WoundScribe unifies imaging, scribing, charting, coding, healing analytics, and patient education into one platform — not bolted onto a legacy system, with a clinician reviewing and signing every step.
Six agents, one encounter
Four reasoning agents work in sequence — Summarizer, Assessor, Planner, Validator — each building on the last. You watch them think: every agent reports as it completes, and the Validator flags issues before you sign.
On one screen, the whole visit comes together:
- Ambient capture drafts SOAP, nurse, and procedure notes through the agent chain
- Wound imaging reads tissue, dimensions, and peri-wound changes, tracked visit over visit
- Prescriptions are ranked by what's safe, fillable, and covered, with reasoning shown
- Labs, imaging, and referrals are surfaced and tracked through to closure
- E/M levels and CPTs are suggested with linked diagnoses and modifiers — for example, 99213 with documentation to support it
- A chart-auditor pass flags gaps and payer-specific issues like a missing modifier 25
- A plain-language patient summary at a grade-six reading level closes the loop
From EMR to learning health system
WoundScribe fuses three systems into one: the EMR, clinical AI for decision support, and a Learning Health System that learns from every wound it sees. It runs in clinic, on foot, on wheels, on campus, on site, and in place — and pairs the AI scribe for wound care with AI-powered wound imaging and WISER claims and compliance to protect revenue on every chart.
The numbers change the math for every encounter: over 60% of documentation time saved, over 60% more revenue captured, and over 95% less compliance risk per chart.