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Forecasting the impact of artificial intelligence on clinical pharmacy practice
Journal article   Peer reviewed

Forecasting the impact of artificial intelligence on clinical pharmacy practice

Adrian Wong, Trenton Flanagan, Elizabeth W. Covington, Elaine Nguyen, Dustin Linn, Gretchen Brummel, Brian Hoffmaster, Diana Isaacs and Sandra L. Kane-Gill
JAACP : Journal of the American College of Clinical Pharmacy, Vol.8(4), pp.302-310
04/2025
DOI: 10.1002/jac5.70004

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Abstract

There is a need to understand contemporary scientific advances as clinical pharmacy evolves. One rapidly expanding area is artificial intelligence (AI), which has grown significantly over the past year because of the public availability of large language models. This commentary reviews published literature describing and evaluating applications of AI to each aspect of the medication use process and forecasts potential future roles for AI in pharmacy practice. Potential challenges in implementation are also described.
Pharmacy artificial intelligence clinical pharmacy information systems drug monitoring drug prescribing medication errors medication systems pharmaceutical services

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