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Clinicians’ Rationale for Editing Ambient AI–Drafted Clinical Notes: Persistent Challenges and Implications for Improvement

2026-02-22

Abstract excerpt

<h4>Structured Abstract</h4> <h4>Objective</h4> The use of ambient AI documentation tools is rapidly growing in US hospitals and clinics. Such tools generate the first draft of clinical notes from scribed patient-provider conversations, which clinicians can then review and edit before signing into electronic health records (EHR). Understanding how and why clinicians make modifications to AI-generated drafts is c...

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Literature Corpus work
6b7b7fa8-73fb-5089-a568-8542a9f0cfe8
DOI
10.64898/2026.02.20.26346729
Open publication

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Clinicians’ Rationale for Editing Ambient AI–Drafted Clinical Notes: Persistent Challenges and Implications for ImprovementDOI 10.64898/2026.02.20.26346729
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