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

New Methods (1185) Methods in Human Factors Research (75) Artificial Intelligence (2377) Generative Language Models Including ChatGPT (832) Ethical, Legal, and Social Issues in AI (124) Foundation Models and Their Applications in AI (59)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71521, first published .
Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study

Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study

Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study

Authors of this article:

Kota Sakaguchi1 Author Orcid Image ;   Reiko Sakama2 Author Orcid Image ;   Takashi Watari3 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Ng J. Prompt engineering for generative artificial intelligence chatbots in health research: A practical guide for traditional, complementary, and integrative medicine researchers. Integrative Medicine Research 2025;14(4):101222 View
  2. Prahl A. The AI-Reflexivity Checklist (ARC): A Pre-Analysis Pause for LLM-Assisted Coding. Qualitative Health Research 2026;36(2-3):181 View
  3. Marquard J, Martin C, Theesfeld S, Feldmann A, Trofholz A, Wick E, Melton G. Manual vs. AI-Assisted Qualitative Analysis: A Methodological Comparison of Nurse Perspectives on Surgical Recovery. International Journal of Qualitative Methods 2026;25 View
  4. Tuczek M, Degirmenci K, Breitner M, Desouza K, Watson R. Where Automation Meets Augmentation: Balancing the Double-Edged Role of Generative AI in Management Consulting. Business & Information Systems Engineering 2026 View
  5. Masukawa K, Sato Y, Kondo U, Ito S. Identifying the Characteristics of Palliative Care Information on Social Media Using a Qualitative and Sentiment Analysis Approach. American Journal of Hospice and Palliative Medicine® 2026 View
  6. Sawai Y, Tanaka M, Tonsho S, Uno A, Takahashi Y, Kanehara A, Kumakura Y, Yaghishita S, Kasai K, Rao W. Medical challenges and unmet needs of individuals with 22q11.2 deletion syndrome as perceived by caregivers: A thematic analysis and natural language processing-based thematic extraction. PLOS Mental Health 2026;3(4):e0000582 View
  7. Pedro Bittencourt J, Spinola R, Maciel R. Stakeholder Value Criteria for Technical Debt Acquisition Decisions: An Empirical Analysis. ACM Transactions on Software Engineering and Methodology 2026 View
  8. Chong D, Capio C, Jones A, Tse P, Chau S, Eguia K. Student attributes and behavioral examples used by physiotherapy clinical educators in Hong Kong: a qualitative data analysis. Physiotherapy Theory and Practice 2026:1 View

Books/Policy Documents

  1. Fares O. Encyclopedia of Artificial Intelligence in Marketing. View