WoundScribe AI
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WoundScribe AI-Powered EMR

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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-powered wound care EMR has arrived. WoundScribe unifies imaging, scribing, charting, coding, healing analytics, and patient education into one platform — AI-native, 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 with Pingoo for patient-side guidance and reminders. Explore the full AI-powered EMR for wound care or see how the Wound Imaging Agent handles tissue composition and measurement.