定性研究 探索将人工智能整合到未来药房中的感知 目标结构化临床检查
Ziad G Nasr1, Abrar Mohamed1, Hebatalla Almarri1
1College of Pharmacy, Qatar University, Doha, Qatar.
American journal of pharmaceutical education
|November 23, 2025
概括
药学教师和毕业生在客观结构化临床检查 (OSCE) 中看到人工智能 (AI) 的潜力. 虽然人工智能可以改善标准化和反,但需要仔细实施才能解决问题并确保教育质量.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 药房 教育 教育 药房 教育
背景情况:
- 传统的客观结构化临床检查 (OSCE) 面临的挑战包括分级不一致性,缺乏标准化和有限的反.
- 人工智能 (AI) 尚未在卡塔尔大学的药房OSCE中实施.
研究的目的:
- 探索药学教师和毕业生对未来潜在的AI整合在欧安组织中的看法.
- 了解在欧安组织设计,管理,评估和反方面假设的AI应用.
主要方法:
- 使用半结构面试对12名教师进行定性研究.
- 五个重点小组与29名药学毕业生进行了讨论.
- 使用Braun和Clarke的反射方法进行主题分析.
主要成果:
- 五个主题出现了:传统的欧安组织挑战,对人工智能使用的看法,人工智能的潜在作用和好处,潜在的挑战和担忧以及实施策略.
- 人工智能被视为增强标准化,自动化任务和提供反的支持工具,但存在关于同理心评估,偏见和隐私方面的担忧.
- 实施需要试点,道德培训,机构准备,以及人类-人工智能组合模型.
结论:
- 对于将人工智能整合到药房中存在谨慎的乐观情绪.
- 人工智能为欧安组织的挑战提供了潜在的解决方案,但逐步实施至关重要.
- 机构投资,利益相关者培训和政策框架对于成功将AI整合到药房评估中至关重要.
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