RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Aug 1, 2025

Abstract

OBJECTIVE: To evaluate an automated reporting checklist generation tool using large language models and retrieval augmentation generation technology, called RAPID.

Authors

  • Zeming Li
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Xufei Luo
    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Zhenhua Yang
    School of Chinese Medicine, Vincent V.C. Woo Chinese Medicine Clinical Research Institute, Hong Kong Baptist University, Hong Kong, China.
  • Huayu Zhang
    Einthoven Laboratory for Vascular and Regenerative Medicine, Department of Internal Medicine, Leiden University Medical Center, Albinusdreef, 22333 ZA Leiden, The Netherlands.
  • Bingyi Wang
    School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Long Ge
    Department of Health Policy and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
  • Zhaoxiang Bian
    School of Chinese Medicine, Vincent V.C. Woo Chinese Medicine Clinical Research Institute, Hong Kong Baptist University, Hong Kong, China.
  • James Zou
    Department of Biomedical Data Science, Stanford University, Stanford, California.
  • Yaolong Chen
    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.

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