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Understanding Clinician Edits to Ambient AI Draft Notes: A Feasibility Analysis Using Large Language Models

2026-03-02

Abstract excerpt

Ambient AI documentation tools generate draft notes that clinicians can review and edit before signing off in electronic health records. Scalable computational approaches to characterize how clinicians modify drafts remain limited, yet are essential for evaluating and improving AI effectiveness. We examined the feasibility of a few-shot prompted large language model (LLM) for categorizing sentence-level edits betw...

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Literature Corpus work
3dbcaac5-802d-55a7-9c4a-533a7ae738ec
DOI
10.64898/2026.02.27.26347290
Open publication

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Understanding Clinician Edits to Ambient AI Draft Notes: A Feasibility Analysis Using Large Language ModelsDOI 10.64898/2026.02.27.26347290
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