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Generative Language Models Including ChatGPT (1388) New Methods (1725) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2283) Ontologies, Classifications, and Coding (407) Artificial Intelligence (4488) Chronic Conditions (539)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88677, first published .
Comparison of traditional qualitative analysis and AI-assisted LLM analysis with text and diagrams.

Using a Large Language Model to Support Thematic Analysis of Patient Experiences in Chronic Illness Management: Comparative Qualitative Study

Using a Large Language Model to Support Thematic Analysis of Patient Experiences in Chronic Illness Management: Comparative Qualitative Study

Authors of this article:

Sara Kivity1 Author Orcid Image ;   Yechiel Michael Barilan1 Author Orcid Image ;   Reut Noham2 Author Orcid Image ;   Mor Saban3 Author Orcid Image
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Sara Kivity   1 , PhD ;   Yechiel Michael Barilan   1 , MD, PhD ;   Reut Noham   2 , PhD ;   Mor Saban   3 , PhD

1 School of Medicine, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Tel Aviv, Israel

2 Department of Industrial Engineering,, Tel Aviv University, Tel Aviv, Israel

3 Nursing Department, The Stanley Steyer School of Health Professions, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel

Corresponding Author:

  • Sara Kivity, PhD
  • School of Medicine, Gray Faculty of Medical and Health Sciences
  • Tel Aviv University
  • Haim Levanon Street 30
  • Tel Aviv, Tel Aviv 6997801
  • Israel
  • Phone: 972 528815539
  • Email: dejav_s@mac.org.il