WoundScribe AI
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Point-and-capture wound imaging: how AI measurements work at the bedside

imaging

Published

How bedside point-and-capture imaging records wound size and tissue data, and why consistent measurements matter for documentation and healing tracking.

Manual measurement with a paper ruler varies from person to person. Point-and-capture imaging aims to make measurement faster and more consistent at the bedside.

How it works

  1. Point a mobile device at the wound.
  2. Capture the image.
  3. AI helps identify the wound boundary and calculate dimensions.
  4. You review the result and adjust if needed.

What gets recorded

  • Length, width, and area
  • Tissue composition, where available
  • A dated image for the record

Why consistency matters

When the same method is used every visit, changes over time are easier to trust. That supports both documentation and clinical decisions. We do not claim that imaging alone improves outcomes.

Where it fits in the workflow

Images and measurements flow into the note, so you are not retyping numbers. Over time they feed the Healing Dashboard.

Clinician review still applies

You can check the boundary and correct measurements before they enter the chart.

Go deeper

See AI-Powered Wound Imaging and AI wound imaging at the bedside.