药学教育中的对话性AI代理人的评估框架:对关键特征和结果措施的范围审查
Sabrina Winona Pit1, Mohammad Hamiduzzaman1, Carl R Schneider2
1University Centre for Rural Health, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, 61 Uralba Street, Lismore, NSW, 2480, Australia.
Research in social & administrative pharmacy : RSAP
|May 20, 2025
概括
交谈式人工智能代理 (CAIAs) 在药房教育中表现有前途,尽管面临早期采用挑战,但提高了学习者的信心和技能. 需要进一步的研究来验证它们的有效性,并指导CAIA的发展.
科学领域:
- 药房 教育 教育 药房 教育
- 医疗保健中的人工智能
- 数字健康培训 数字健康培训
背景情况:
- 创新和可扩展的培训解决方案对于药房教育和实践至关重要.
- 交谈式人工智能代理 (CAIA) 是该领域的一个关键技术进步.
- 现代药房的复杂需求需要新的教育方法.
研究的目的:
- 识别和综合用于药房教育的CAIAs的核心特征.
- 确定CAIAs评估研究中报告的共同结果指标.
- 根据世卫组织的指导方针,为药学教育中的CAIAs提出一个全面的评估框架.
主要方法:
- 进行了范围审查,检查了2020年至2025年间发表的研究.
- 开发了一个评估框架,将世界卫生组织的数字健康框架纳入其中.
- 从包括的研究中系统地提取了CAIA的关键特征和结果指标.
主要成果:
- 六项研究符合纳入标准,主要来自英语国家.
- 在培训沟通技巧,人力资源管理和艾滋病毒护理方面,应用了CAIA.
- 虽然功能和用户体验通常被评估,但知识和技能等教育成果的评估较少,尽管注意到了积极的趋势.
结论:
- 开发了一个新的评估框架,以指导药学教育中CAIA的设计和评估.
- 药学教育中正在出现CAIA,但仍处于实施的初始阶段.
- 进一步的研究是必要的,以确认CAIA的有效性,并探索其在医疗保健学科更广泛的应用.
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