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

E-Health Policy and Health Systems Innovation (285) Natural Language Processing (801) Ontologies, Classifications, and Coding (271) Secondary Use of Clinical Data for Research and Surveillance (416) eHealth Infrastructures (393) Chatbots and Conversational Agents (633) Generative Language Models Including ChatGPT (497)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56614, first published .
Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange

Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange

Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange

Authors of this article:

Dukyong Yoon1, 2, 3 Author Orcid Image ;   Changho Han1 Author Orcid Image ;   Dong Won Kim1 Author Orcid Image ;   Songsoo Kim1 Author Orcid Image ;   SungA Bae3, 4 Author Orcid Image ;   Jee An Ryu1 Author Orcid Image ;   Yujin Choi1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

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  2. Duesing S, Bennett J, Overton J, Vita R, Peters B. Standardizing free-text data exemplified by two fields from the Immune Epitope Database. Journal of Biomedical Semantics 2025;16(1) View
  3. 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