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

Standards and Interoperability (239) Clinical Informatics (2454) Clinical Information and Decision Making (3985) New Methods (1897) Ontologies, Classifications, and Coding (484) Development and Evaluation of Research Methods, Instruments and Tools (1489) Data Science (735)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100368, first published .
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Evaluating Large Language Models for Standardizing Clinical Data Using Health Level Seven Fast Healthcare Interoperability Resources: Development and Evaluation Study

Evaluating Large Language Models for Standardizing Clinical Data Using Health Level Seven Fast Healthcare Interoperability Resources: Development and Evaluation Study

Authors of this article:

Álvaro Riquelme-Tornel1, 2 Author Orcid Image ;   Pedro Luis Costa del Amo3 Author Orcid Image ;   Catalina Martínez-Costa1, 2 Author Orcid Image
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Álvaro Riquelme-Tornel   1, 2 , MSc ;   Pedro Luis Costa del Amo   3 , PhD ;   Catalina Martínez-Costa   1, 2 , PhD

1 Department of Informatics and Systems, Faculty of Computer Science, Universidad de Murcia, Murcia, Spain

2 Instituto Murciano de Investigación Biosanitaria, Murcia, Spain

3 Latency Data, Madrid, Spain

Corresponding Author:

  • Catalina Martínez-Costa, PhD
  • Department of Informatics and Systems
  • Faculty of Computer Science, Universidad de Murcia
  • Campus de Espinardo
  • Murcia 30100
  • Spain
  • Email: cmartinezcosta@um.es