PharmacyGPT: The AI Pharmacist

Zhengliang Liu; Zihao Wu; Mengxuan Hu; Bokai Zhao; Lin Zhao; Tianyi Zhang; Haixing Dai; Xianyan Chen; Ye Shen; Sheng Li; Quanzheng Li; Xiang Li; Brian Murray; Tianming Liu; Andrea Sikora

arXiv · 2307.10432

PharmacyGPT: The AI Pharmacist

Zhengliang Liu·Zihao Wu·Mengxuan Hu·Bokai Zhao·Lin Zhao·Tianyi Zhang·Haixing Dai·Xianyan Chen·Ye Shen·Sheng Li·Quanzheng Li·Xiang Li·Brian Murray·Tianming Liu·Andrea Sikora

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Abstract

In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical pharmacists. Our methodology encompasses the utilization of LLMs to generate comprehensible patient clusters, formulate medication plans, and forecast patient outcomes. We conduct our investigation using real data acquired from the intensive care unit (ICU) at the University of North Carolina Chapel Hill (UNC) Hospital. Our analysis offers valuable insights into the potential applications and limitations of LLMs in the field of clinical pharmacy, with implications for both patient care and the development of future AI-driven healthcare solutions. By evaluating the performance of PharmacyGPT, we aim to contribute to the ongoing discourse surrounding the integration of artificial intelligence in healthcare settings, ultimately promoting the responsible and efficacious use of such technologies.

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Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Quanzheng Li, Xiang Li, Brian Murray, Tianming Liu, Andrea Sikora. 2023-07-19. PharmacyGPT: The AI Pharmacist. https://arxiv.org/abs/2307.10432

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