Artificial Intelligence Note Summarization in the Emergency Department

This quality improvement study investigates the association of an electronic health record-integrated artificial intelligence note summarization tool with emergency physician medical record review time and user experience.

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Publication Details

Journal
JAMA Network Open
Published
2026-06-18
DOI
https://doi.org/10.1001/jamanetworkopen.2026.18021
Citations
1
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
41.57
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article

Artificial Intelligence Note Summarization in the Emergency Department

Theodore Chan, Chris Longhurst, Alan X. You, Poorva Satish Bedmutha et al.
1 citations
JAMA Network Open
Electronic Health Records Systems
41.57
article

Artificial Intelligence Note Summarization in the Emergency Department

Theodore Chan, Chris Longhurst, Alan X. You, Poorva Satish Bedmutha, Avi Patel, Nicolas M. Kahl, Karandeep Singh, Jie Cao, Edward M. Castillo
article en
1 citations

Abstract

This quality improvement study investigates the association of an electronic health record-integrated artificial intelligence note summarization tool with emergency physician medical record review time and user experience.

JAMA Network OpenVol. 9(6)
University of San Diego (US), University of California San Diego (US), Center for Innovation (US)
Openalex Percentile: Top 0%
Electronic Health Records Systems
41.57
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