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Generative Language Models Including ChatGPT (917) Clinical Information and Decision Making (2184) Natural Language Processing (1008) Decision Support for Health Professionals (1729) Ontologies, Classifications, and Coding (364) Innovations in Cancer Diagnostic and Decision Support (127) AI Language Models in Health Care (308)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95877, first published .
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Assessing Eligibility for Anticancer Drug Health Insurance Reimbursement Using Large Language Models: Benchmark Development and Comparative Study

Assessing Eligibility for Anticancer Drug Health Insurance Reimbursement Using Large Language Models: Benchmark Development and Comparative Study

Authors of this article:

Junhyuk Seo1 Author Orcid Image ;   Taerim Kim1, 2, 3 Author Orcid Image ;   Ju-Hyun Kim4 Author Orcid Image
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Junhyuk Seo   1 * , RN, MS ;   Taerim Kim   1, 2, 3 * , MD, PhD ;   Ju-Hyun Kim   4 , MD, PhD

1 Healthcare Research Institute, ETOILE Inc, Seoul, Republic of Korea

2 Department of Digital Health, Samsung Advanced Institute of Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea

3 Department of Emergency Medicine, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea

4 Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Ju-Hyun Kim, MD, PhD
  • Department of Obstetrics and Gynecology
  • University of Ulsan College of Medicine, Asan Medical Center
  • 88, Olympic-ro 43-gil, Songpa-gu
  • Seoul 05505
  • Republic of Korea
  • Phone: 82 10-9668-6227
  • Email: smilekako@naver.com