This paper is in the following e-collection/theme issue:

Machine Learning (1971) Clinical Informatics (1257) Natural Language Processing (869) Decision Support for Health Professionals (1468) Clinical Information and Decision Making (1807) Artificial Intelligence (1996)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49886, first published .
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation

Authors of this article:

Thomas Savage1 Author Orcid Image ;   John Wang2 Author Orcid Image ;   Lisa Shieh1 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

Journals

  1. Templin T, Perez M, Sylvia S, Leek J, Sinnott-Armstrong N, Silva J. Addressing 6 challenges in generative AI for digital health: A scoping review. PLOS Digital Health 2024;3(5):e0000503 View
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  3. Bedi S, Liu Y, Orr-Ewing L, Dash D, Koyejo S, Callahan A, Fries J, Wornow M, Swaminathan A, Lehmann L, Hong H, Kashyap M, Chaurasia A, Shah N, Singh K, Tazbaz T, Milstein A, Pfeffer M, Shah N. Testing and Evaluation of Health Care Applications of Large Language Models. JAMA 2025;333(4):319 View
  4. Dev S, Zolensky A, Aridi H, Kelty C, Madison M, Motaganahalli A, Brooke B, Dixon B, Boustani M, Ben Miled Z, Zhang P, Gonzalez A. Use of Deep Learning to Identify Peripheral Arterial Disease Cases From Narrative Clinical Notes. Journal of Surgical Research 2024;303:699 View
  5. Gong E, Bang C. Revolutionizing gastrointestinal endoscopy: the emerging role of large language models. Clinical Endoscopy 2024;57(6):759 View
  6. Shen Y, Yu J, Zhou J, Hu G. Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review. Journal of Medical Internet Research 2025;27:e59024 View
  7. Gong E, Bang C, Lee J, Park J, Kim E, Kim S, Kimm M, Choi S. Large Language Models in Gastroenterology: Systematic Review. Journal of Medical Internet Research 2024;26:e66648 View
  8. Chataut S, Bhatta S, Dahal B, Ojha G, Subedi B, Bastakoti B. Advancements and Applications of Generative AI in Healthcare. European Journal of Theoretical and Applied Sciences 2024;2(6):873 View
  9. Busch F, Hoffmann L, Rueger C, van Dijk E, Kader R, Ortiz-Prado E, Makowski M, Saba L, Hadamitzky M, Kather J, Truhn D, Cuocolo R, Adams L, Bressem K. Current applications and challenges in large language models for patient care: a systematic review. Communications Medicine 2025;5(1) View
  10. Berry P, Dhanakshirur R, Khanna S. Utilizing large language models for gastroenterology research: a conceptual framework. Therapeutic Advances in Gastroenterology 2025;18 View
  11. Daccache N, Zako J, Morisson L, Laferrière-Langlois P. The applications of ChatGPT and other large language models in anesthesiology and critical care: a systematic review. Canadian Journal of Anesthesia/Journal canadien d'anesthésie 2025;72(6):904 View
  12. Song J, Liu W, Wang Y, Hu X, Chen L, Wu X, Zheng C, Gu Q. Application and Challenges of Large Language Models in Clinical Nursing. CIN: Computers, Informatics, Nursing 2025;43(9) View
  13. Wang C, Zhu Y, Zhang X, Chen X, Li Y, Tan Y, Qi H. Areas of research focus and trends in the research on the application of AIGC in healthcare. Journal of Health, Population and Nutrition 2025;44(1) View
  14. Padela A, Hayek R, Tabassum A, Jotterand F, Qadir J. Assisting, Replicating, or Autonomously Acting? An Ethical Framework for Integrating AI Tools and Technologies in Healthcare. Bioethics 2025 View
  15. Lafuente C, Rahim M. Evaluating large language models on hospital health data for automated emergency triage. International Journal of Computer Assisted Radiology and Surgery 2025 View
  16. Chataut S, Bhatta S, Dahal B, Ojha G, Raut S, Subedi B, Bastakoti B. Generative Artificial Intelligence in Healthcare: A Systematic Review of GANs, Diffusion Models, Large Language Models, and Variational Autoencoders for Medical Applications. European Journal of Applied Science, Engineering and Technology 2025;3(4):182 View

Conference Proceedings

  1. Finkelstein J, Cui W, Morgan K, Kawamoto K. 2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC). Reducing Diagnostic Uncertainty Using Large Language Models View