https://doi.org/10.7490/f1000research.1120421.1
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Nateghi Haredasht F, Grolleau F, Alsentzer E et al. MedFactEval and MedAgenBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries [version 1; not peer reviewed]. F1000Research 2025, 14:1391 (poster) (https://doi.org/10.7490/f1000research.1120421.1)
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MedFactEval and MedAgenBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries

Fateme Nateghi Haredasht, François Grolleau1, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April Liang, Weihan Chu, Natasha Steele, Christina Lin, Jingkun Yang, Kameron Black, Stephen Ma, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen
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Published 11 Dec 2025

MedFactEval and MedAgenBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries

[version 1; not peer reviewed]

Fateme Nateghi Haredasht, François Grolleau1, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April Liang, Weihan Chu, Natasha Steele, Christina Lin, Jingkun Yang, Kameron Black, Stephen Ma, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen
Author Affiliations
1 Stanford Center for Biomedical Informatics Research, Stanford, California, USA
Competing Interests

No competing interests were disclosed

Keywords
clinical discharge summaries, clinical documentation, large language models, MedFactEval, MedAgentBrief, fact-grounded evaluation, hallucinations, key-fact benchmark, LLM jury, agentic workflow, hospital medicine, clinical NLP
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