The role of artificial intelligence in emergency medicine pharmacy practice.

IF 2.1 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Christopher J Edwards, Brian L Erstad, Vivienne Ng
{"title":"The role of artificial intelligence in emergency medicine pharmacy practice.","authors":"Christopher J Edwards, Brian L Erstad, Vivienne Ng","doi":"10.1093/ajhp/zxaf038","DOIUrl":null,"url":null,"abstract":"<p><strong>Disclaimer: </strong>In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.</p><p><strong>Purpose: </strong>This primer aims to serve as a foundational resource on artificial intelligence (AI) for pharmacists practicing in the emergency department (ED).</p><p><strong>Summary: </strong>Artificial intelligence (AI) is increasingly recognized for its potential to transform healthcare, including emergency medicine (EM) and pharmacy practice. AI applications in EM include diagnostic evaluation, risk stratification, resource optimization, and therapeutic decision-making. AI's role in improving triage, diagnostics, and resource utilization in the emergency setting is discussed along with its application in the medication-use process, from prescribing to monitoring. Despite the promise of AI, significant barriers such as factual inaccuracies, ethical concerns, and data transparency prevent the widespread clinical adoption of AI tools. Challenges such as racial bias, data privacy, model transparency, and the phenomenon of hallucinations in large language model outputs are highlighted as critical considerations. AI's future success in EM will depend on responsible integration, guided by clinicians including pharmacists, and a careful consideration of ethical issues and patient-specific values.</p><p><strong>Conclusion: </strong>Pharmacists practicing in the ED should be familiar with AI tools and should understand the importance of their role in the development, implementation, and oversight of these tools to ensure safe, effective, and equitable patient care.</p>","PeriodicalId":7577,"journal":{"name":"American Journal of Health-System Pharmacy","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Health-System Pharmacy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ajhp/zxaf038","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: This primer aims to serve as a foundational resource on artificial intelligence (AI) for pharmacists practicing in the emergency department (ED).

Summary: Artificial intelligence (AI) is increasingly recognized for its potential to transform healthcare, including emergency medicine (EM) and pharmacy practice. AI applications in EM include diagnostic evaluation, risk stratification, resource optimization, and therapeutic decision-making. AI's role in improving triage, diagnostics, and resource utilization in the emergency setting is discussed along with its application in the medication-use process, from prescribing to monitoring. Despite the promise of AI, significant barriers such as factual inaccuracies, ethical concerns, and data transparency prevent the widespread clinical adoption of AI tools. Challenges such as racial bias, data privacy, model transparency, and the phenomenon of hallucinations in large language model outputs are highlighted as critical considerations. AI's future success in EM will depend on responsible integration, guided by clinicians including pharmacists, and a careful consideration of ethical issues and patient-specific values.

Conclusion: Pharmacists practicing in the ED should be familiar with AI tools and should understand the importance of their role in the development, implementation, and oversight of these tools to ensure safe, effective, and equitable patient care.

求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.90
自引率
18.50%
发文量
341
审稿时长
3-8 weeks
期刊介绍: The American Journal of Health-System Pharmacy (AJHP) is the official publication of the American Society of Health-System Pharmacists (ASHP). It publishes peer-reviewed scientific papers on contemporary drug therapy and pharmacy practice innovations in hospitals and health systems. With a circulation of more than 43,000, AJHP is the most widely recognized and respected clinical pharmacy journal in the world.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信