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

Natural Language Processing (1242) Clinical Informatics (2173) Ontologies, Classifications, and Coding (421) Standards and Interoperability (213) Generative Language Models Including ChatGPT (1442) AI Language Models in Health Care (707)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82670, first published .
Medical team in white coats reviewing patient data on a large computer screen

Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability

Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability

Authors of this article:

Youngsun Park1 Author Orcid Image ;   Hannah Kang1 Author Orcid Image ;   Jiwon Kim1 Author Orcid Image ;   Soo-Yong Shin1 Author Orcid Image ;   Dosang Cho2 Author Orcid Image ;   Sang Youl Rhee3, 4 Author Orcid Image ;   Hong Seok Park5 Author Orcid Image ;   Kyung-Jae Lee6 Author Orcid Image ;   Sungchul Bae1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Wenk J, Inojosa H, Voigt I, Gilbert S, Ziemssen T. Are Traditional Registries Becoming Obsolete in the Modern Digital Health Ecosystem?. Journal of Medical Internet Research 2026;28:e92696 View