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extended · article · 2023

Assessing ChatGPT’s capacity for clinical decision support in pediatrics: A comparative study with pediatricians using KIDMAP of Rasch analysis

H. KAO; Tsair‐Wei Chien; Wen‐Chung Wang; Willy Chou; Julie Chi Chow; Mark Wilson

BACKGROUND: The application of large language models in clinical decision support (CDS) is an area that warrants further investigation. ChatGPT, a prominent large language models developed by OpenAI, has shown promising performance across various domains. However, there is limited research evaluating its use specifically in pediatric clinical decision-making. This study aimed to assess ChatGPT's potential as a CDS tool in pediatrics by evCDSaluating its performance on 8 common clinical symptom prompts. Study objectives were to answer the 2 research questions: the ChatGPT's overall grade in a range from A (high) to E (low) compared to a normal sample and the difference in assessment of ChatGPT between 2 pediatricians. METHODS: We compared ChatGPT's responses to 8 items related to clinical symptoms commonly encountered by pediatricians. Two pediatricians independently assessed the answers ...

Rating Scale ModelDIFWright MapCATEducationPsychologyMedicineSTEM Education
APA citation

H. KAO, Tsair‐Wei Chien, Wen‐Chung Wang, Willy Chou, Julie Chi Chow, & Mark Wilson (2023). Assessing ChatGPT’s capacity for clinical decision support in pediatrics: A comparative study with pediatricians using KIDMAP of Rasch analysis. Medicine, 102(25), e34068-e34068. https://doi.org/10.1097/md.0000000000034068