WoundScribe AI
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AI wound care, in minutes

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Watch a real 15-minute wound visit get captured, charted, coded, and submitted in about six to seven minutes — with six AI agents working alongside the clinician.

What if the chart was done before the patient left the room? WoundScribe built exactly that: six AI agents that work alongside you during the visit, so a fifteen-minute encounter is captured, coded, and submitted in about six to seven minutes — roughly sixty percent faster than the usual grind.

How one real visit unfolds

  1. Open the encounter — a couple of clicks, no forms, and the ambient scribe quietly comes online.
  2. Tap and talk — the AI scribe for wound care drafts your SOAP note as you speak, filtering out greetings and side chatter.
  3. Point-n-Capture finds the wound border in about fifteen seconds and measures area, length, width, and depth by calibration-free planimetry — no ruler, no sticker.
  4. Structured description drafts itself — tissue percentages and observations populate as you describe the wound.
  5. Pre-flight check flags anything missing — nurse checklist, vitals, insurance, outside results — so the draft is right the first time.
  6. Audit-ready SOAP note is assembled with the Healing Trajectory summary included: healing, stalling, and what to do next.
  7. Rx agent screens against the patient's profile — penicillin allergies hard-stopped, safer covered alternatives surfaced, renal cautions in the rationale.
  8. Compliance gate checks documentation against E/M and CPT codes, reruns the payer in about 400ms, and catches issues like a missing modifier 25 before you sign.

What you get back

Check-in near zero, capture fifteen seconds, describe ten, chart and review about five minutes. A plain-language patient summary is ready before they leave — printed or sent through Pingoo, the patient-education companion.

Across a full clinic day, that's roughly three hours back. No charting at night. Actually leaving on time. Less burnout, more presence. Book a short demo and watch a real wound go from photo to submitted chart.