Artificial intelligence in pharmacy education: A scoping review of current integration & global perceptions

IF 1.4 Q3 EDUCATION, SCIENTIFIC DISCIPLINES

Currents in Pharmacy Teaching and Learning Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI:10.1016/j.cptl.2025.102534

Lana Kattan , Shareefa Moideen , Abrar Abdelrahman , Sabah Khabbaz , Asmaa Ibrahim , Fatima Mraiche

{"title":"Artificial intelligence in pharmacy education: A scoping review of current integration & global perceptions","authors":"Lana Kattan , Shareefa Moideen , Abrar Abdelrahman , Sabah Khabbaz , Asmaa Ibrahim , Fatima Mraiche","doi":"10.1016/j.cptl.2025.102534","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The rapid evolution of artificial intelligence (AI) is reshaping healthcare, including pharmacy, requiring AI-proficient pharmacy graduates. This necessitates an understanding of how AI is utilized in pharmacy education. This scoping review aims to summarize current literature on AI in pharmacy education, including its implementation and perceptions among students and faculty, and examine the alignment of these applications with accreditation standards to inform future curriculum development.</div></div><div><h3>Methods</h3><div>A literature search was performed across PubMed, Scopus, Embase, CINAHL, and Google Scholar, for studies on AI in pharmacy education. Articles were categorized as innovation or perception studies. Innovation studies underwent thematic analysis to identify practical applications, while perception studies captured AI familiarity and willingness for curricular integration. AI applications were mapped to the Accreditation Council for Pharmacy Education (ACPE) and Canadian Council for Accreditation of Pharmacy Programs (CCAPP) standards.</div></div><div><h3>Results</h3><div>Twenty articles (10 innovation, 10 perception) were included. Faculty utilized AI for evaluation, assessment, and reflective writing analysis. Students used AI for personalized learning, enhancing communication, and problem-based learning. Some studies reported high AI familiarity; others showed limited knowledge. Nevertheless, a strong willingness to integrate AI into pharmacy education was observed, with students desiring more AI-focused curricula. Mapping AI applications to accreditation standards demonstrated that AI integration can support educational outcomes and competency requirements.</div></div><div><h3>Conclusions</h3><div>The findings highlight potential AI applications in pharmacy education, underscoring the need to incorporate AI into pharmacy curricula. Alignment with accreditation standards suggests that AI integration addresses evolving professional needs and maintains quality standards for pharmacy programs.</div></div>","PeriodicalId":47501,"journal":{"name":"Currents in Pharmacy Teaching and Learning","volume":"18 3","pages":"Article 102534"},"PeriodicalIF":1.4000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Currents in Pharmacy Teaching and Learning","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877129725002552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}

引用次数: 0

Abstract

Background

The rapid evolution of artificial intelligence (AI) is reshaping healthcare, including pharmacy, requiring AI-proficient pharmacy graduates. This necessitates an understanding of how AI is utilized in pharmacy education. This scoping review aims to summarize current literature on AI in pharmacy education, including its implementation and perceptions among students and faculty, and examine the alignment of these applications with accreditation standards to inform future curriculum development.

Methods

A literature search was performed across PubMed, Scopus, Embase, CINAHL, and Google Scholar, for studies on AI in pharmacy education. Articles were categorized as innovation or perception studies. Innovation studies underwent thematic analysis to identify practical applications, while perception studies captured AI familiarity and willingness for curricular integration. AI applications were mapped to the Accreditation Council for Pharmacy Education (ACPE) and Canadian Council for Accreditation of Pharmacy Programs (CCAPP) standards.

Results

Twenty articles (10 innovation, 10 perception) were included. Faculty utilized AI for evaluation, assessment, and reflective writing analysis. Students used AI for personalized learning, enhancing communication, and problem-based learning. Some studies reported high AI familiarity; others showed limited knowledge. Nevertheless, a strong willingness to integrate AI into pharmacy education was observed, with students desiring more AI-focused curricula. Mapping AI applications to accreditation standards demonstrated that AI integration can support educational outcomes and competency requirements.

Conclusions

The findings highlight potential AI applications in pharmacy education, underscoring the need to incorporate AI into pharmacy curricula. Alignment with accreditation standards suggests that AI integration addresses evolving professional needs and maintains quality standards for pharmacy programs.

查看原文本刊更多论文

药剂学教育中的人工智能：当前整合和全球认知的范围审查。

背景：人工智能（AI）的快速发展正在重塑包括药学在内的医疗保健行业，这需要精通AI的药学毕业生。这就需要理解人工智能在药学教育中的应用。本范围审查旨在总结当前关于药学教育中人工智能的文献，包括其在学生和教师中的实施和看法，并检查这些应用与认证标准的一致性，以便为未来的课程开发提供信息。方法：检索PubMed、Scopus、Embase、CINAHL、b谷歌Scholar等数据库，对人工智能在药学教育中的应用进行文献检索。文章被归类为创新或感知研究。创新研究进行了主题分析，以确定实际应用，而感知研究则捕捉了人工智能对课程整合的熟悉程度和意愿。人工智能应用被映射到药学教育认证委员会（ACPE）和加拿大药学课程认证委员会（CCAPP）标准。结果：共纳入文章20篇（创新10篇，认知10篇）。教师利用人工智能进行评估、评估和反思性写作分析。学生们使用人工智能进行个性化学习、加强沟通和基于问题的学习。一些研究报告了高度的人工智能熟悉度；其他人则表现出有限的知识。然而，我们观察到，学生们强烈希望将人工智能整合到药学教育中，他们希望获得更多以人工智能为重点的课程。将人工智能应用映射到认证标准表明，人工智能集成可以支持教育成果和能力要求。结论：研究结果强调了人工智能在药学教育中的潜在应用，强调了将人工智能纳入药学课程的必要性。与认证标准保持一致表明，人工智能集成解决了不断变化的专业需求，并保持了药学项目的质量标准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊