Article
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 3dbcaac5-802d-55a7-9c4a-533a7ae738ec
- DOI
- 10.64898/2026.02.27.26347290
