Speak before the reveal: a practical method to protect clinical reasoning from artificial intelligence scribe deskilling, never-skilling, and mis-skilling.

Abstract

Objective Ambient artificial intelligence (AI) scribes are rapidly becoming normalized in clinical practice, yet governance frameworks focus on accuracy, privacy, consent, and medicolegal status. Risks to clinician capabilities have received less attention. Speak before the reveal is a proposed method in which clinicians verbalize critical cognitive steps, such as synthesis and plan, before note generation. Discussion Recent work distinguishes deskilling in senior clinicians, never-skilling from premature offload in trainees and mis-skilling, the internalization of AI errors and inappropriate use as sound practice. This Perspective builds on emerging evidence that reasoning before seeing AI output may protect unaided reasoning. Training implementation, evaluation, adherence challenges, validation methodology, and governance strategies for training bodies, health services, and scribe vendors are discussed. Conclusion Speak before the reveal is a low-cost, testable approach to maintaining clinical reasoning for individuals or organizations. Successful AI scribe adoption requires preserving clinicians' ability to work without AI support.

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