一个基于人工智能的临床决策支持系统的初始以用户为中心的设计,用于初级保健
Michaela Christina Neff1, Jannik Schaaf1, Richard Noll1
1Goethe University Frankfurt, University Hospital, Institute of Medical Informatics, Germany.
Studies in health technology and informatics
|January 25, 2024
概括
一般的医生一般的医生
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 人与计算机的交互
背景情况:
- 临床决策支持系统 (CDSS) 利用人工智能 (AI) 来诊断复杂的病例.
- 人工智能驱动的CDSS可以提供初步诊断,并指导进一步的诊断步骤.
- 初级保健机构可以从人工智能工具中受益,以管理未被诊断的疾病.
研究的目的:
- 探索全科医生 (GPs) 对初级保健中基于AI的CDSS用户界面 (UI) 的偏好.
- 通过以用户为中心的设计流程收集用户需求.
- 为通用实践开发一个用户友好的AI CDSS提供信息.
主要方法:
- 采用以用户为中心的设计方法.
- 一个初步的UI原型是基于确定用户需求而开发的.
- 五位全科医生通过两个专门的研讨会对原型进行了评估.
主要成果:
- 研讨会讨论产生了对UI改进的分类建议.
- 关键的反包括在AI CDSS中需要智能参数请求.
- 早期的用户输入对于完善UI设计至关重要.
结论:
- 用户反对于开发有效的基于AI的临床决策支持系统至关重要.
- 整合以用户为中心的设计原则可以提高人工智能工具在初级保健中的可用性.
- 人工智能CDSS的未来代应该包含GP驱动的建议,以实现最佳采用.
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