How to Run a HIPAA-Compliant WoundScribe Pilot in 30 Days
healthcare
A step-by-step playbook for wound care leaders evaluating AI documentation: scoping call, BAA, site selection, baseline metrics, and go-live in under a month.
Most wound care teams don't fail at adopting AI because the technology is hard — they fail because the pilot is unstructured. This guide walks administrators and clinical leads through a 30-day path from scoping call to measurable results with WoundScribe AI.
Week 1 — Scope and Sign
- Book the 30-minute scoping call. Identify which of the six care settings you're piloting (clinic, podiatry, mobile, campus, SNF, or home).
- Sign the BAA. A HIPAA Business Associate Agreement is non-negotiable before any PHI moves.
- Pick the pilot cohort. Two to five clinicians is the right size — enough signal, small enough to support.
Week 2 — Baseline the Numbers
Before go-live, capture the metrics you'll use to judge success:
- Average minutes per wound chart, end to end.
- First-pass chart accuracy (charts that need zero rework).
- Days in A/R for wound visits.
- Clinician-reported documentation burden (a simple 1–5 weekly survey works).
Without a baseline, even a real lift looks like an opinion.
Week 3 — Configure and Train
- Map your templates into the wound documentation system.
- Connect imaging workflows through AI-powered wound imaging.
- Run two short training sessions — one on point-and-capture, one on reviewing AI-drafted SOAP notes.
Week 4 — Go Live and Measure
Clinicians document live visits with WoundScribe. Reconvene at day 30 to compare against baseline. Most pilots see meaningful drops in chart time and rework inside the first two weeks.
What to Watch For
- Edge cases first. Pilot on your hardest wounds (DFUs, complex offloading) so the value is obvious.
- Audit trail. Confirm every chart carries time-stamped, image-backed evidence before you scale.
- Coder feedback loop. Bring billing into week 2, not week 4 — they'll tell you fast if claims are cleaner.
Ready to scope yours? Start with the AI for wound care overview.