用户为中心的开发解释基于AI的CDSS的用户界面:从早期阶段吸取的教训
Ian-C Jung1, Maria Zerlik1, Katharina Schuler1
1Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
Studies in health technology and informatics
|August 23, 2024
概括
医生对AI临床决策支持系统的解释需求根据它们的识别方式有很大差异. 早期的上下文分析与后来的问卷答复不同,强调了以用户为中心的设计.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 医疗保健中的人工智能
背景情况:
- 以用户为中心的设计 (UCD) 对于开发有效的基于人工智能的临床决策支持系统 (AI-CDSS) 是至关重要的.
- 了解医生解释需求对于在重症监护室 (ICU) 采用和安全使用AI-CDSS至关重要.
研究的目的:
- 报告从ICU中AI-CDSS的解释用户界面的早期UCD阶段中学到的经验教训.
- 在一个多中心,多国家项目中识别和验证医生解释需求.
主要方法:
- 背景分析和用户需求优先级在一个初始中心.
- 在多中心项目研讨会后,N=9名医生的问卷答复.
主要成果:
- 通过上下文分析识别的解释需求与通过问卷识别的需求不同.
- 医生的解释需求因获得方法和项目阶段而异.
结论:
- 在AI-CDSS的UCD过程中引起解释需求时,建议谨慎.
- 多中心,多国家项目需要强大的方法来准确地捕捉各种用户需求.
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