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04/27/26

Clinicians' rationale for editing ambient AI-drafted clinical notes: persistent challenges and implications for improvement.

Guo, Yawen; Hu, Di; Yang, Ziqi; Chow, Emilie; Tam, Steven; Perret, Danielle; Pandita, Deepti; Zheng, Kai. J Am Med Inform Assoc.

Collection Topics
AI and Diagnosis Culture, Work System, and Implementation Health IT
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Summary

Ambient AI documentation tools create initial clinical note drafts from patient-provider conversations, which clinicians review and edit before adding to the EHR. Understanding clinicians' modifications is important for refining AI and improving efficiency. This study finds that changes were mainly made to enhance clinical accuracy, diagnostic assessment, specificity and history, specialty precision, and comply with medico-legal, billing, and documentation requirements.

Read the paper
Guo Y, Hu D, Yang Z, et al. Clinicians' rationale for editing ambient AI-drafted clinical notes: persistent challenges and implications for improvement. J Am Med Inform Assoc. 2026;33(7):1345-1353.