Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review

Journal article

Peer reviewed

Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review

Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W. Bates and Li Zhou

International journal of medical informatics (Shannon, Ireland), Vol.205, p.106091

01/2026

DOI: https://doi.org/10.1016/j.ijmedinf.2025.106091

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Title: Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review
Creators: Xinsong Du - Brigham and Women's Hospital
Zhengyang Zhou - Brandeis University
Yifei Wang - Brandeis University
Ya-Wen Chuang
Yiming Li - Brigham and Women's Hospital
Richard Yang - Brigham and Women's Hospital
Pengyu Hong - Brandeis University
David W. Bates - Brigham and Women's Hospital
Li Zhou - Brigham and Women's Hospital
Publication Details: International journal of medical informatics (Shannon, Ireland), Vol.205, p.106091
Identifiers: 9924524835501921
Academic Unit: Michtom School of Computer Science; Benjamin and Mae Volen National Center for Complex Systems
Language: English
Resource Type: Journal article