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ChatGPT vs pharmacy students in the pharmacotherapy time-limit test: A comparative study in Thailand.
Taesotikul, Suthinee; Singhan, Wanchana; Taesotikul, Theerada.
Afiliação
  • Taesotikul S; Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand. Electronic address: suthinee.tae@cmu.ac.th.
  • Singhan W; Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand. Electronic address: wanchana.s@cmu.ac.th.
  • Taesotikul T; Department of Biomedicine and Health Informatics, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom 73000, Thailand. Electronic address: Taesotikul_t@su.ac.th.
Curr Pharm Teach Learn ; 16(6): 404-410, 2024 06.
Article em En | MEDLINE | ID: mdl-38641483
ABSTRACT

OBJECTIVES:

ChatGPT is an innovative artificial intelligence designed to enhance human activities and serve as a potent tool for information retrieval. This study aimed to evaluate the performance and limitation of ChatGPT on fourth-year pharmacy student examination.

METHODS:

This cross-sectional study was conducted on February 2023 at the Faculty of Pharmacy, Chiang Mai University, Thailand. The exam contained 16 multiple-choice questions and 2 short-answer questions, focusing on classification and medical management of shock and electrolyte disorders.

RESULTS:

Out of the 18 questions, ChatGPT provided 44% (8 out of 18) correct responses. In contrast, the students provided a higher accuracy rate with 66% (12 out of 18) correctly answered questions. The findings of this study underscore that while AI exhibits proficiency, it encounters limitations when confronted with specific queries derived from practical scenarios, on the contrary with pharmacy students who possess the liberty to explore and collaborate, mirroring real-world scenarios.

CONCLUSIONS:

Users must exercise caution regarding its reliability, and interpretations of AI-generated answers should be approached judiciously due to potential restrictions in multi-step analysis and reliance on outdated data. Future advancements in AI models, with refinements and tailored enhancements, offer the potential for improved performance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes de Farmácia / Avaliação Educacional Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Curr Pharm Teach Learn Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudantes de Farmácia / Avaliação Educacional Limite: Adult / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Curr Pharm Teach Learn Ano de publicação: 2024 Tipo de documento: Article
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