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Research article
ChatGPT (GPT-4) passed the Japanese National License Examination for Pharmacists in 2022, answering all items including those with diagrams: a descriptive study  
Hiroyasu Sato, Katsuhiko Ogasawara
J Educ Eval Health Prof. 2024;21:4.   Published online February 28, 2024
DOI: https://doi.org/10.3352/jeehp.2024.21.4
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  • 12 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
The objective of this study was to assess the performance of ChatGPT (GPT-4) on all items, including those with diagrams, in the Japanese National License Examination for Pharmacists (JNLEP) and compare it with the previous GPT-3.5 model’s performance.
Methods
The 107th JNLEP, conducted in 2022, with 344 items input into the GPT-4 model, was targeted for this study. Separately, 284 items, excluding those with diagrams, were entered into the GPT-3.5 model. The answers were categorized and analyzed to determine accuracy rates based on categories, subjects, and presence or absence of diagrams. The accuracy rates were compared to the main passing criteria (overall accuracy rate ≥62.9%).
Results
The overall accuracy rate for all items in the 107th JNLEP in GPT-4 was 72.5%, successfully meeting all the passing criteria. For the set of items without diagrams, the accuracy rate was 80.0%, which was significantly higher than that of the GPT-3.5 model (43.5%). The GPT-4 model demonstrated an accuracy rate of 36.1% for items that included diagrams.
Conclusion
Advancements that allow GPT-4 to process images have made it possible for LLMs to answer all items in medical-related license examinations. This study’s findings confirm that ChatGPT (GPT-4) possesses sufficient knowledge to meet the passing criteria.

Citations

Citations to this article as recorded by  
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    Journal of Dental Education.2025; 89(4): 459.     CrossRef
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  • Performance Evaluation of 18 Generative AI Models (ChatGPT, Gemini, Claude, and Perplexity) in 2024 Japanese Pharmacist Licensing Examination: Comparative Study
    Hiroyasu Sato, Katsuhiko Ogasawara, Hidehiko Sakurai
    JMIR Medical Education.2025; 11: e76925.     CrossRef
  • Applications and potential of ChatGPT in dentistry: Scoping review of research perspectives
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    Journal of Dental Sciences.2025;[Epub]     CrossRef
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