Effectiveness of ChatGPT in clinical pharmacy and the role of artificial intelligence in medication therapy management

药物治疗管理 医学 药店 临床药学 医疗保健 心理干预 药品 药物治疗 重症监护医学 护理部 药剂师 药理学 经济增长 经济
作者
Don Roosan,Pauline Padua,R.K. Rabeeha Khan,Hasiba Khan,Claudia Verzosa,Yanting Wu
出处
期刊:Journal of the American Pharmacists Association [Elsevier]
卷期号:64 (2): 422-428.e8 被引量:32
标识
DOI:10.1016/j.japh.2023.11.023
摘要

Abstract

Background

The use of artificial intelligence (AI) to optimize medication therapy management (MTM) in identifying drug interactions may potentially improve MTM efficiency. ChatGPT, an AI language model, may be applied to identify medication interventions by integrating patient and drug databases. ChatGPT has been shown to be effective in other areas of clinical medicine, from diagnosis to patient management. However, ChatGPT's ability to manage MTM related activities is little known.

Objectives

To evaluate the effectiveness of ChatGPT in MTM services in simple, complex, and very complex cases to understand AI contributions in MTM.

Methods

Two clinical pharmacists rated and validated the difficulty of patient cases from simple, complex, and very complex. ChatGPT's response to the cases was assessed based on 3 criteria: the ability to identify drug interactions, precision in recommending alternatives, and appropriateness in devising management plans. Two clinical pharmacists validated the accuracy of ChatGPT's responses and compared them to actual answers for each complexity level.

Results

ChatGPT 4.0 accurately solved 39 out of 39 (100 %) patient cases. ChatGPT successfully identified drug interactions, provided therapy recommendations and formulated general management plans, but it did not recommend specific dosages. Results suggest it can assist pharmacists in formulating MTM plans to improve overall efficiency.

Conclusion

The application of ChatGPT in MTM has the potential to enhance patient safety and involvement, lower healthcare costs, and assist healthcare providers in medication management and identifying drug interactions. Future pharmacists can utilize AI models such as ChatGPT to improve patient care. The future of the pharmacy profession will depend on how the field responds to the changing need for patient care optimized by AI and automation.
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