WoundScribe AI
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Inside the Healing Dashboard: Detecting Stalled Wounds Before They Escalate

analytics

Published

How the healing dashboard turns serial wound measurements into trajectory analytics that flag stalled wounds and support continued-care claims.

A wound that isn't progressing costs the patient healing time and costs the practice reimbursement risk. The healing dashboard exists to catch stall early.

From measurements to trajectory

Every point-and-capture image contributes area, depth, and tissue composition to a per-wound time series. The healing dashboard plots percent area reduction against expected trajectory for the wound type and duration.

Stalled-wound detection

A wound is flagged when percent area reduction falls below the expected threshold for its etiology over a rolling window — for example, a diabetic foot ulcer that hasn't achieved 50% area reduction by week four. The clinical rationale is expanded in the stalled wound detection deep dive.

What the dashboard shows per patient

  • Trajectory curve vs. expected healing rate
  • Tissue composition shifts over time
  • Interventions performed at each visit
  • Comorbidity context pulled from the chart

Why this matters for reimbursement

Payers increasingly expect trajectory evidence to justify continued advanced therapies. Documented stall — followed by a documented change in plan of care — is stronger support than measurements alone. The dashboard packages that story for WISER claims and compliance.

Where this fits in the visit

Open the dashboard before the encounter to see whether the plan needs to change. Close the encounter with a note that reflects trajectory, not just today's numbers. That's the difference between reactive charting and clinical decision support.