Implementing an AI scribe: change management guide

AI scribe implementation is primarily a change-management effort. Start small with a pilot cohort and clear success metrics instead of broad deployment on day one.

Track three indicators from the start: documentation time, completion quality, and user satisfaction. Those metrics guide training and workflow refinements.

After pilot validation, expand in waves with internal champions. This reduces adoption friction and accelerates long-term sustainability.

Maintain a continuous improvement cadence so workflows stay aligned with clinical reality and regulatory requirements.