评估患者对医疗保健系统自动化的信心:在主体内进行实验研究
Matthew Nare1, Katherina Jurewicz1
1School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, United States.
JMIR human factors
|August 6, 2024
概括
患者对半自动化和无自动化的信任比对心脏风险评估工具的全自动化更高. 随着患者风险严重程度的提高,信任度也增加了,这凸显了医疗自动化中以人为中心设计的必要性.
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:
- 医疗保健技术和自动化显著影响患者的治疗结果.
- 越来越多地将智能自动化纳入医疗保健工作系统.
研究的目的:
- 调查患者对自动心脏风险评估工具 (CRAT) 的信任.
- 在模拟的紧急部门中,在不同的自动化模式 (无,仅自动化,半自动化) 中比较信任水平.
主要方法:
- 在实验对象内部进行实验设计,比较三个CRAT自动化模式.
- 参与者对CRAT风险分类在各个自动化条件中的信任评分 (1-10).
- 输入模拟症状,CRAT自动分类风险水平.
主要成果:
- 半自动化被信任的程度明显高于仅仅是自动化 (P=.002).
- 没有自动化是值得信赖的显著超过仅仅是自动化 (P=.03).
- 与中度严重性相比,在高严重性场景中,CRAT信任显著更高 (P=.004).
结论:
- 在设计自动化医疗保健技术方面,人为因素至关重要.
- 强调在将自动化和人工智能整合到患者护理中时需要考虑人为因素.
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