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.
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.