How to Switch Your Wound Care Practice to an AI EMR in One Week

Switching EMRs sounds painful. For a wound care practice moving to an AI-native platform, it doesn't have to be. Here's the one-week plan we run with new clinics.

Day 1 — Kickoff and account mapping

Introduce us to your current EMR account manager. We inventory patient records, active wound episodes, appointment templates, and open claims. You keep seeing patients — nothing changes clinically yet.

Day 2 — Data connection

We set up the bidirectional connection to your existing system (or migrate you fully onto the AI-powered EMR for wound care). Demographics, insurance, allergies, and prior wound assessments flow in.

Day 3 — Imaging and template calibration

Your team captures a few test wounds with the phone camera. Markerless AI-powered wound imaging is calibrated to your typical anatomy and lighting. SOAP templates are mapped to how you already document.

Day 4 — Scribe dry run

Providers shadow a live visit while the AI scribe for wound care drafts notes in the background. Compare the draft against your usual note — edit style preferences are learned.

Day 5 — Coding and billing sync

Superbills route to your biller or clearinghouse. WISER checks coverage and required fields before charts are signed.

Day 6 — Go live with one provider

One clinician runs a full clinic day on the new system. Support is on standby. Everyone else stays on the legacy workflow.

Day 7 — Full rollout

Remaining providers switch. The legacy EMR stays read-only for historical lookups. You're documenting, coding, and billing on the AI-native stack.