How to model wound care clinic revenue in a spreadsheet

If you want to project what an AI-native workflow could do for your wound care clinic, the fastest path is a five-row spreadsheet you can adjust in an afternoon. This is the same shape of model behind the AI scribe for wound care revenue math, rebuilt so you can plug in your own encounter times and payer mix.

Step 1: Set your baseline encounter time

Start with average minutes per encounter today. A 30-minute visit at 8 clinical hours per day yields 16 encounters. Multiply by your blended reimbursement per visit to get baseline daily revenue, then annualize across working days.

Step 2: Layer in documentation time saved

Estimate the minutes per encounter recovered when scribing, imaging, and charting collapse into a single capture. Convert saved minutes into additional encounter slots — not into shorter days — and re-run daily revenue.

Step 3: Model coding capture

List every add-on your clinic performs (debridement, grafting, NPWT, skin substitute application) and the percent of eligible visits where each currently gets coded. Raise those capture rates to reflect a coding assistant surfacing eligible CPTs, and recompute revenue per visit. Anchor this against the workflow in the AI-powered EMR for wound care.

Step 4: Apply the denial rate

Apply your current denial rate to gross revenue, then model a reduced rate assuming audit-ready charts. The delta is pure margin because the work is already done.

Step 5: Stack and stress test

Multiply the three levers together — not additively — and sensitivity-test each input at ±20%. That range is your realistic revenue band per clinician.