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Physician-reported safety outcomes of AI-generated hospital course summaries

05.08.26 | JAMA Network

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About The Study: In this study, a large language model-based agentic workflow produced hospital course summaries that were frequently used with minimal risk of harm identified. The intervention was associated with a reduction in physician burnout, supporting the viability of AI summarization to mitigate documentation burden.

Corresponding Author: To contact the corresponding author, Francois Grolleau, MD, PhD, email grolleau@stanford.edu .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2026.16556)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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Media advisory: This study is being presented at the 2026 Society of General Internal Medicine Annual Meeting.

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About JAMA Network Open : JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.

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How to Cite This Article

APA:
JAMA Network. (2026, May 8). Physician-reported safety outcomes of AI-generated hospital course summaries. Brightsurf News. https://www.brightsurf.com/news/1EO9OJ7L/physician-reported-safety-outcomes-of-ai-generated-hospital-course-summaries.html
MLA:
"Physician-reported safety outcomes of AI-generated hospital course summaries." Brightsurf News, May. 8 2026, https://www.brightsurf.com/news/1EO9OJ7L/physician-reported-safety-outcomes-of-ai-generated-hospital-course-summaries.html.