This study examines ChatGPT’s role in clinical decision support, by analyzing its scope, application, and limitations. By analyzing patient data and providing evidence-based recommendations, ChatGPT, an AI language model, can help healthcare professionals make well-informed decisions. This study examines ChatGPT’s use in clinical decision support, including diagnosis and treatment planning. However, it acknowledges limitations like biases, lack of contextual understanding, and human oversight and also proposes a framework for the future clinical decision support system. Understanding these factors will allow healthcare professionals to utilize ChatGPT effectively and make accurate clinical decisions. Further research is needed to understand the implications of using ChatGPT in healthcare settings and to develop safeguards for responsible use.
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The authors acknowledge that this article was partially generated by ChatGPT (powered by OpenAI’s language model, GPT; http://openai.com). The editing was performed by the authors.
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Ferdush, J., Begum, M. & Hossain, S.T. ChatGPT and Clinical Decision Support: Scope, Application, and Limitations. Ann Biomed Eng (2023). https://doi.org/10.1007/s10439-023-03329-4