构建和实施一套用于儿童门诊人工智能决策支持系统的绩效评估指标:一项观察性研究
Yingwen Wang1, Weijia Fu2, Yuejie Zhang3
1Nursing Department, Children's Hospital of Fudan University, Shanghai, 201102, China.
Scientific reports
|June 24, 2024
概括
为儿童医疗保健中的人工智能 (AI) 决策支持系统 (AI-DSS) 开发了一套新的评估指标,以监测绩效. 组织绩效,社会绩效和用户体验是评估AI-DSS成功的关键因素.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能在医学中的应用
- 儿科卫生系统 儿科卫生系统
背景情况:
- 人工智能 (AI) 决策支持系统 (AI-DSS) 在儿科医疗保健中越来越多地使用.
- 由于AI-DSS的成本和复杂性,确保AI-DSS的性能,可解释性和持续监控是至关重要的.
- 需要一个系统的方法来评估AI-DSS在儿科设置是必要的.
研究的目的:
- 为儿童医疗保健中AI-DSS开发一套全面和专业的评估指标.
- 建立一个框架,以持续监测AI-DSS的性能和更新.
- 为了确定不同性能方面的相对重要性 (权重).
主要方法:
- 采用了两阶段的方法,从文献综述,焦点小组和指标开发的Delphi方法开始.
- 专家意见是通过分析层次的过程来收集主观权重的专家意见.
- 使用重法计算目标重量,然后合成成组合重量.
主要成果:
- 最后一组指标包括三个一级指标,15个二级指标和47个三级指标.
- 组织绩效,社会绩效和用户体验绩效被确定为关键指标类别.
- 权重分析显示"组织绩效"在客观和综合权重方面最为关键,而"社会绩效"主导了主观权重.
结论:
- 已经建立并实施了一套针对儿科AI-DSS的强有力的评估指标.
- 为了长期优化指标权重,需要持续收集数据.
- 开发的指标有助于系统性绩效评估和改善儿科护理中的AI-DSS.
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