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

AI Language Models in Health Care (168) Electronic Health Records (1278) Generative Language Models Including ChatGPT (637) Natural Language Processing (873) Artificial Intelligence (2008) Information Retrieval (339)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58457, first published .
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis

The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis

The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis

Authors of this article:

Amadeo Jesus Wals Zurita1 Author Orcid Image ;   Hector Miras del Rio1 Author Orcid Image ;   Nerea Ugarte Ruiz de Aguirre1 Author Orcid Image ;   Cristina Nebrera Navarro1 Author Orcid Image ;   Maria Rubio Jimenez1 Author Orcid Image ;   David Muñoz Carmona1 Author Orcid Image ;   Carlos Miguez Sanchez1 Author Orcid Image
Article Authors Cited by (3) Tweetations (19) Metrics

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  2. Mahyoub M, Dougherty K, Shukla A. Extracting Pulmonary Embolism Diagnoses From Radiology Impressions Using GPT-4o: Large Language Model Evaluation Study. JMIR Medical Informatics 2025;13:e67706 View
  3. Harris W, Hernandez M, Ngo K, Fladger A, Brunette C, Hamarneh S, Knowles J, Lebo M, Vassy J. Electronic health records-based algorithms to screen for U.S. Centers for Disease Control and Prevention tier 1 genetic diseases: a scoping review. Journal of the American Medical Informatics Association 2025;32(10):1629 View