Qualitative Study Exploring Perceptions of Integrating Artificial Intelligence into Future Pharmacy Objective Structured Clinical Examinations

IF 3.1 4区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Ziad G. Nasr, Abrar Mohamed, Hebatalla Almarri, Najwa Amir, Roaa Rustom, Lana Kattan, Sara Abulola
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引用次数: 0

Abstract

Objective

This qualitative study explored how pharmacy faculty and graduates perceive the potential future use of artificial intelligence (AI) in Objective Structured Clinical Examinations (OSCEs) at Qatar University, where AI had not yet been implemented. To reflect the open-ended nature of the evaluation, participants were asked to consider multiple hypothetical ways AI might be incorporated across OSCE design, administration, assessment, and feedback, rather than any specific predetermined model.

Methods

Semi-structured interviews with 12 faculty members and 5 focus groups with 29 graduates were conducted using purposive sampling. Data were analyzed thematically using Braun and Clarke’s reflexive approach.

Results

Five themes emerged: (1) Traditional OSCE Challenges, which included inconsistencies in grading, lack of standardization, logistical burdens, and limited feedback; (2) Perceptions of AI Use in Education and OSCEs, where AI was viewed as a supportive but not substitutive tool; (3) Potential Roles and Benefits of AI in OSCEs, highlighting its capacity to improve standardization, automate tasks, provide structured feedback, and reduce exam-related stress; (4) Potential Challenges and Concerns, including limitations in assessing empathy, fairness, algorithmic bias, privacy, and overreliance on AI; and (5) Implementation Strategies, emphasizing the need for piloting, ethical training, institutional readiness, and adoption of a combined human and AI model.

Conclusion

Participants expressed cautious optimism about integrating AI into OSCEs. Although AI offers promising solutions to challenges, thoughtful and gradual implementation is essential. Institutional investments, stakeholder training, and strong policy frameworks are critical to ensuring AI enhances rather than compromises educational quality and integrity in pharmacy assessment.
质性研究探讨将人工智能整合到未来药学中的看法。
目的:本定性研究探讨了卡塔尔大学的药学教师和毕业生如何看待人工智能(AI)在客观结构化临床检查(oses)中的潜在未来应用,在卡塔尔大学,人工智能尚未实施。为了反映评估的开放性,参与者被要求考虑将人工智能纳入欧安组织设计、管理、评估和反馈的多种假设方式,而不是任何特定的预定模型。方法:采用有目的抽样的方法,对12名教师进行半结构化访谈,对29名毕业生进行5个焦点小组访谈。使用Braun和Clarke的自反方法对数据进行主题分析。结果:出现了五个主题:(1)欧安组织面临的传统挑战,包括分级不一致、缺乏标准化、后勤负担和反馈有限;(2)对人工智能在教育和欧安组织中使用的看法,人工智能被视为一种辅助工具,而不是替代工具;(3)人工智能在欧安组织中的潜在作用和好处,强调其提高标准化、自动化任务、提供结构化反馈和减少考试相关压力的能力;(4)潜在的挑战和担忧,包括在评估同理心、公平性、算法偏见、隐私和过度依赖人工智能方面的局限性;(5)实施战略,强调试点、道德培训、制度准备和采用人与人工智能相结合的模型的必要性。结论:与会者对人工智能融入oses持谨慎乐观态度。虽然人工智能为应对挑战提供了有希望的解决方案,但深思熟虑和逐步实施至关重要。机构投资、利益相关者培训和强有力的政策框架对于确保人工智能提高而不是损害药学评估的教育质量和完整性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.30
自引率
15.20%
发文量
114
期刊介绍: The Journal accepts unsolicited manuscripts that have not been published and are not under consideration for publication elsewhere. The Journal only considers material related to pharmaceutical education for publication. Authors must prepare manuscripts to conform to the Journal style (Author Instructions). All manuscripts are subject to peer review and approval by the editor prior to acceptance for publication. Reviewers are assigned by the editor with the advice of the editorial board as needed. Manuscripts are submitted and processed online (Submit a Manuscript) using Editorial Manager, an online manuscript tracking system that facilitates communication between the editorial office, editor, associate editors, reviewers, and authors. After a manuscript is accepted, it is scheduled for publication in an upcoming issue of the Journal. All manuscripts are formatted and copyedited, and returned to the author for review and approval of the changes. Approximately 2 weeks prior to publication, the author receives an electronic proof of the article for final review and approval. Authors are not assessed page charges for publication.
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