Ambient scribe for 2,000 clinicians
The model works; the clinicians don't trust it yet.
Open the live lab · pre-loaded to this scenario
Adoption & Change Readiness
Context
A health system pilots an ambient AI scribe for 2,000 clinicians. Note quality is good in the demo, but physicians distrust auto-generated notes they're legally accountable for, and nothing in the comp model rewards using it.
The decision
Gate on trust and workflow-fit, not accuracy. At a composite in the high-50s this is a Hold — scaling now burns clinician goodwill you can't re-buy.
What most miss
Everyone optimizes the model's word-error rate; adoption dies on 'I'm liable for this note and I didn't write it.' Trust and a clean override are the real ramp.
Stakes
A failed clinical rollout doesn't just waste spend — it poisons the next three AI initiatives with the medical staff.
Studied · Engagement Leadership · verified 2026-07-03
Sources: Ambient clinical-documentation adoption patterns; Clinician trust / note-liability and override literature