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

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Qualitative research is crucial for understanding the values and beliefs underlying individual experiences, emotions, and behaviors, particularly in social sciences and health care. Traditionally reliant on manual analysis by experienced researchers, this methodology requires significant time and effort. The advent of artificial intelligence (AI) technology, especially large language models such as ChatGPT (OpenAI), holds promise for enhancing qualitative data analysis. However, existing studies have predominantly focused on AI's application to English-language datasets, leaving its applicability to non-English languages, particularly structurally and contextually complex languages such as Japanese, insufficiently explored.

Authors

  • Kota Sakaguchi
    General Medicine Center, Shimane University Hospital, Izumo, Japan.
  • Reiko Sakama
    Department of General Medicine, NTT Medical Center, Tokyo, Japan.
  • Takashi Watari
    General Medicine Center Shimane University Hospital Izumo Shimane Japan.