WoundScribe AI
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Inside the healing analytics dashboard: turning serial measurements into trend lines

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How serial wound measurements become area-over-time trend lines that flag stalled wounds early and back up your treatment decisions in an audit.

A single wound measurement is a data point. Twelve of them, taken consistently, are a treatment decision.

What the dashboard shows

The healing analytics dashboard plots each wound's:

  • Area over time (cm²)
  • Percent area reduction week-over-week
  • Tissue composition shift (granulation trending up, slough down — or not)
  • Time to closure projection when the trend is stable

Why trends beat snapshots

A wound that looks the same for three weeks isn't "stable" — it's stalled. The 4-week 50% area reduction threshold is a common decision point for escalating care, and it only works if measurements are comparable visit to visit. Because imaging comes from the same AI-powered wound imaging model each visit, the trend is real, not an artifact of a different ruler or a different clinician.

How it changes the visit

Before you walk in, you know whether this wound is healing, stalled, or worsening. The scribe drafts the note. The dashboard tells you what the note should say about the plan. That's how the assessment ties to the plan — auditors love that.

Where the trend lives

Inside the AI-powered EMR for wound care, attached to the patient's chart, exportable for referrals and audits. Full breakdown in Inside the Healing Analytics Dashboard.

What it costs

The dashboard is included. No add-on. Start free at WoundScribe AI.