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Abstract Artificial intelligence (AI) has emerged as a potentially useful tool in transforming healthcare. Roles for AI include drug safety, operations, as well as precision medicine to improve patient outcomes. Within pharmacy practice, limited guidance is available describing the purpose of AI. This gap is important to address given the current growth of AI in medicine. The purpose of this narrative review was to review the literature evaluating the potential role of AI in three relevant areas of pharmacy practice. A review of Medline and Embase from January 2004 to June 2022 evaluating search terms involving AI and drug safety, pharmacy operations, or precision medicine. Articles had to be focused on human subjects, be either an observational cohort study or randomized control trial, and involve medication use to be included in this review. Data collection included the study design, AI methodology, and primary outcome and associated AI model performance measures. A total of 24 232 articles were identified from the search strategy, with 403 articles meeting inclusion criteria (1.7%). A total of 22 articles were included in this review. Articles focused on drug safety included safe use of opioids and the role of social media in identifying adverse drug reactions. In terms of pharmacy operations, articles included the identification of medications at risk for shortage and visual identification of medications. Finally, for precision medicine, articles included determining likelihood of beneficial effects of medications for new diagnoses and dosing of warfarin. The role of AI in improving patient outcomes is numerous. However, challenges that remain include transparency of generated AI models, generalizability, and lack of external validation. Future areas of focus include education of pharmacy clinicians on the role of AI and the increased use of open‐source models/data to allow for external validation of AI.
Wong et al. (Tue,) studied this question.