How to Document a Wound from a Single Photo: A Step-by-Step Workflow
healthtech
A practical workflow for capturing, measuring, and charting a wound from one photo — from camera angle to coded note.
Wound documentation is one of the most time-consuming parts of a clinical visit. This guide walks through a photo-first workflow that produces a complete, codeable note in seconds — no rulers, no separate measurement app, no after-visit charting backlog.
Step 1: Capture the wound with intent
Stand perpendicular to the wound bed, fill the frame with the wound and a few centimeters of peri-wound skin, and ensure even lighting. Avoid shadows from your own hand or the patient's clothing. A single straight-on photo is enough — AI-powered wound analysis handles segmentation and scale.
Step 2: Let the AI segment and measure
Upload the photo. The model identifies wound boundaries, classifies tissue type (granulation, slough, eschar), and returns length, width, and surface area. Review the segmentation overlay before accepting — clinician sign-off stays in your hands.
Step 3: Generate the note
The scribe agent drafts an assessment using the measurements, tissue composition, and any dictated context. Edit the narrative as you would any draft. See how the full chain works in Wound documentation and tracking.
Step 4: Assign codes and close the loop
The coding agent suggests ICD-10 and CPT codes tied to the documented findings. Confirm, sign, and the note is ready for the EHR. The same photo seeds the next visit's healing trajectory.
Step 5: Hand off to patient education
A plain-language summary and care instructions are generated for the patient — no separate handout to print.
Providers who want to see this workflow end-to-end can request a demo.