Adrian Wong Pharm.D., MPH, FCCP, Trenton Flanagan Pharm.D., Elizabeth W. Covington Pharm.D., Elaine Nguyen Pharm.D., MPH, MBA, Dustin Linn Pharm.D., MBA, Gretchen Brummel Pharm.D., Brian Hoffmaster Pharm.D., MBA, Diana Isaacs Pharm.D., FCCP, Sandra L. Kane-Gill Pharm.D., M.Sc., FCCP
{"title":"Forecasting the impact of artificial intelligence on clinical pharmacy practice","authors":"Adrian Wong Pharm.D., MPH, FCCP, Trenton Flanagan Pharm.D., Elizabeth W. Covington Pharm.D., Elaine Nguyen Pharm.D., MPH, MBA, Dustin Linn Pharm.D., MBA, Gretchen Brummel Pharm.D., Brian Hoffmaster Pharm.D., MBA, Diana Isaacs Pharm.D., FCCP, Sandra L. Kane-Gill Pharm.D., M.Sc., FCCP","doi":"10.1002/jac5.70004","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":73966,"journal":{"name":"Journal of the American College of Clinical Pharmacy : JACCP","volume":"8 4","pages":"302-310"},"PeriodicalIF":1.3000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American College of Clinical Pharmacy : JACCP","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jac5.70004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
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.