Role of artificial intelligence in pharmacy practice: A narrative review

Author:

Wong Adrian12,Wentz Erin2,Palisano Nicholas1,Dirani Manar3,Elsamadisi Pansy1,Qashou Farah4,Celi Leo1567,Badawi Omar8,Nazer Lama3

Affiliation:

1. Department of Pharmacy Beth Israel Deaconess Medical Center Boston Massachusetts USA

2. Department of Pharmacy Practice Massachusetts College of Pharmacy and Health Sciences Boston Massachusetts USA

3. Department of Pharmacy King Hussein Cancer Center Amman Jordan

4. Global Health Company Amman Jordan

5. Laboratory for Computational Physiology Massachusetts Institute of Technology Boston Massachusetts USA

6. Department of Medicine Harvard Medical School Boston Massachusetts USA

7. School of Public Health Harvard T.H. Chan School of Public Health Boston Massachusetts USA

8. Department of Practice, Sciences, and Health Outcomes Research University of Maryland School of Pharmacy Baltimore Maryland USA

Abstract

AbstractArtificial 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.

Publisher

Wiley

Subject

Pharmacology (medical),Pharmaceutical Science,Pharmacy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3