Inside point-and-capture wound measurement

Rulers, cotton swabs, and paper tracings are still the default in most wound clinics. They shouldn't be. Here's how point-and-capture imaging changes the measurement step of every visit.

What point-and-capture actually does

You point a phone or tablet at the wound. In seconds, the AI-powered wound imaging agent returns:

• Length, width, and depth
• Surface area and estimated volume
• Tissue composition — granulation, slough, eschar, epithelial percentages
• Periwound classification
• A calibrated, color-accurate image tied to the chart

No fiducial stickers, no manual tracing, no separate camera roll.

Why calibration matters

Hand measurements drift between clinicians and between visits. A calibrated capture keeps every measurement on the same ruler, so a 12% reduction is a real 12% — not observer variance.

The longitudinal wound record

Each capture is stitched into a serial record. Trajectory — improving, stalled, or deteriorating — becomes visible across visits, feeding the plan through the healing analytics dashboard. Stalled wounds surface before they become non-healing.

How it plugs into the rest of the visit

Measurements populate the SOAP note fields automatically, so the AI scribe for wound care doesn't have to guess dimensions from your dictation. Coding uses the same numbers. One capture, four downstream artifacts.

Privacy and data handling

Images are captured with privacy-by-design controls — encrypted at rest and in transit, tied to the patient record, and not used to train general-purpose models.