Inside Point-and-Capture Wound Imaging
product
How a single phone capture becomes a measured, staged, patient-linked wound record — and why that changes what the rest of the visit looks like.
Wound measurement has been the slowest, least consistent step in every wound visit for decades. Rulers, cotton swabs, tracings, and free-text guesses all produce numbers that don't compare across visits or clinicians. Point-and-capture imaging replaces that with a single action.
What point-and-capture actually does
A clinician frames the wound in the app and captures. In seconds, the system returns:
- Length, width, and depth
- Wound area and perimeter
- Tissue-type segmentation (granulation, slough, eschar, epithelial)
- A staged classification suggestion tied to etiology
- An image record linked to the patient, encounter, and anatomical location
See it in context on the AI-powered wound imaging page.
Why measurement consistency matters
Healing trajectories only mean something if the measurements are comparable. Two clinicians measuring the same wound with rulers can differ by 20–30%. A calibrated capture reduces that variance and makes the trajectory usable — for clinical decisions and for audit defense.
How it changes the rest of the visit
Because the wound is measured and described before the clinician starts the note, everything downstream inherits that data:
- The SOAP note is pre-populated with objective findings
- The healing analytics dashboard plots the trajectory automatically
- Coding has the etiology, stage, and size it needs
- Coverage checks can run against a real wound description, not a guess
Where it fits
This is the front door to the wound care flow — the moment where clinical, product, and coverage decisions get the data they need. See how it connects into the broader AI for wound care platform, or into mobile wound care on wheels for providers who work at the bedside.