AI-Powered Wound Care EMR
product
WoundScribe is an AI-native wound care EMR where a chain of four agents drafts notes, orders, referrals, and codes — and a clinician signs off on every step.
WoundScribe is an AI-powered EMR for wound care where a chain of specialised agents works the encounter alongside the clinician. It reads the chart, reasons through it, and drafts the documentation, orders, referrals, codes, and patient education — ready for human review.
How the agent chain works
Four agents run in sequence, each handing context to the next:
- Summarizer — structures the raw visit (symptoms, measurements, wound findings) into clean clinical data.
- Assessor — interprets findings against the patient's longitudinal profile and comorbidities.
- Planner — drafts notes, orders, and referrals grounded in what's actually in the chart.
- Validator — checks accuracy and completeness before anything reaches the clinician for sign-off.
Three design choices keep it trustworthy: the right model per task, prompts that live in configuration, and a clinician reviewing every draft. Nothing enters the legal record until it's signed.
What it looks like in an encounter
For a patient like Margaret, WoundScribe pulls the longitudinal profile — active wounds, visit history, comorbidities — then drafts the SOAP, nurse, and procedure notes with an AI scribe for wound care. From the wound image, AI-powered wound imaging estimates tissue composition, calibrates dimensions, and surfaces the trend on the healing dashboard: 60% granulation, peri-wound erythema, all flagged for confirmation.
One surface hosts four AI order-writers — medications, labs, imaging, and referrals. Drug selection is matched to the patient, checking allergies, renal function, and coverage, with reasoning shown. Referrals to Podiatry, Infectious Disease, and Vascular Surgery are tracked through closure.
At wrap-up, the platform proposes E/M and CPT codes tied directly to the note, and translates the visit into a plain-language take-home summary. One thread runs through every step: AI drafts, the clinician approves, every note is locked with a full audit trail. Less time documenting, more time with the patient.