设计以人为中心的AI来防止药物配送错误:与药剂师的焦点小组研究
Yifan Zheng1, Brigid Rowell1, Qiyuan Chen2
1Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.
JMIR formative research
|December 25, 2023
概括
药剂师更喜欢混合人工智能 (AI) 模型用于药物发行验证,其中AI协助药剂师根据风险进行干预. 人工智能原型优先考虑可解释性,信任性和用户友好的设计,以加强人机协作.
科学领域:
- 药房实践 在药房实践中
- 人与计算机的交互
- 医疗保健中的人工智能
背景情况:
- 药物发行错误会给全球健康带来重大风险,影响患者安全和医疗保健成本.
- 目前的验证方法,如条形码扫描有局限性.
- 人工智能 (AI) 提供了提高药房验证准确性和效率的潜力.
研究的目的:
- 为了收集药剂师的反,设计一个以用户为中心的AI原型,用于药物发行验证.
- 为人工智能系统的初始用户界面和代设计提供信息.
主要方法:
- 一个多学科的团队参与了8名药剂师在3个焦点小组轮.
- 贝叶斯神经网络被用来预测国家药物规范 (NDC).
- 由人机合作框架指导的转录讨论的内容分析告知了人工智能设计.
主要成果:
- 药剂师倾向于采用混合AI-药剂师合作模式进行验证.
- 关键的设计需求包括增强人工智能解释性 (例如,检查符号,概率得分) 和简单性.
- 最终的原型包括用于比较的视觉辅助工具,概率直方图和明确的决策选项 (接受,拒绝,不确定).
结论:
- 一个以人为中心的AI原型用于分发验证,是与药剂师合作开发的.
- 该设计强调AI的解释性,信任和人机协作,将AI定位为辅助工具.
- 这项研究展示了在药房中创建以用户为中心的AI的过程,重点是协作和信心可视化.
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