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ChatGPT and the clinical informatics board examination: the end of unproctored maintenance of certification?
Kumah-Crystal, Yaa; Mankowitz, Scott; Embi, Peter; Lehmann, Christoph U.
Afiliação
  • Kumah-Crystal Y; Department of Biomedical Informatics, Pediatric Endocrinology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Mankowitz S; Department of Clinical Informatics, Overlook Medical Center, Summit, New Jersey, USA.
  • Embi P; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Lehmann CU; Clinical Informatics Center, UT Southwestern Medical Center, Dallas, Texas, USA.
J Am Med Inform Assoc ; 30(9): 1558-1560, 2023 08 18.
Article em En | MEDLINE | ID: mdl-37335851
ABSTRACT
We aimed to assess ChatGPT's performance on the Clinical Informatics Board Examination and to discuss the implications of large language models (LLMs) for board certification and maintenance. We tested ChatGPT using 260 multiple-choice questions from Mankowitz's Clinical Informatics Board Review book, omitting 6 image-dependent questions. ChatGPT answered 190 (74%) of 254 eligible questions correctly. While performance varied across the Clinical Informatics Core Content Areas, differences were not statistically significant. ChatGPT's performance raises concerns about the potential misuse in medical certification and the validity of knowledge assessment exams. Since ChatGPT is able to answer multiple-choice questions accurately, permitting candidates to use artificial intelligence (AI) systems for exams will compromise the credibility and validity of at-home assessments and undermine public trust. The advent of AI and LLMs threatens to upend existing processes of board certification and maintenance and necessitates new approaches to the evaluation of proficiency in medical education.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Educação Médica Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Educação Médica Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos