Inside the Healing Trajectory Dashboard: Catching Stalled Wounds Before Week 4
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A deep dive into how healing analytics flag stalled wounds early — surfacing trajectory breaks before the 4-week reassessment window.
Chronic wounds rarely fail loudly. They stall — area reduction slows, depth plateaus, and by the time a clinician notices at week 4, the treatment plan is already behind. The Healing Trajectory Dashboard in WoundScribe AI is built to catch that inflection early.
What the dashboard actually tracks
Every visit produces a calibrated measurement from AI-powered wound imaging — area, depth, tissue composition, and periwound status. Those data points feed the healing dashboard as a per-wound trajectory rather than isolated snapshots.
- Percent area reduction (PAR) plotted against expected healing curves for the wound type.
- Tissue-mix shift — granulation vs slough vs necrotic — over time.
- Stall flags when PAR falls below the 4-week threshold associated with non-healing outcomes.
Why week 4 matters
Payers and clinical guidelines treat the 4-week mark as a decision point: continue current therapy or escalate to advanced modalities. Waiting for that visit to notice the trend costs weeks. The dashboard surfaces the stall as soon as the trajectory breaks, so the plan changes at week 2 or 3 instead.
How it fits the rest of the workflow
- Measurements come from point-and-capture imaging — no ruler, no manual entry.
- Trajectory context is pulled into the note by the AI scribe for wound care, so the plan documents why therapy is escalating.
- Stalled-wound flags feed coding and medical-necessity language for advanced modalities.
See the full teardown: Inside the Healing Trajectory Dashboard.