在日常实践中对数据驱动的临床建议的信任和可接受性:一个范围审查
Ruth P Evans1, Louise D Bryant1, Gregor Russell2
1University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK.
International journal of medical informatics
|January 24, 2024
概括
对数据驱动的临床决策支持系统 (CDSS) 的信任对于采用至关重要. 本次审查强调,透明度和可解释性是影响医疗保健从业者对这些新兴技术信任的关键因素.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 大量的健康数据集越来越多地被用于临床决策支持系统 (CDSS) 的分析.
- 尽管人们越来越感兴趣,但数据驱动的CDSS在临床实践中的应用仍然有限.
- 信任是接受和采用这些工具的一个基本因素,但尚未被充分探索.
研究的目的:
- 对数据驱动的CDSS的可接受性和可靠性的评估进行范围审查.
- 从医疗保健专业人员的角度探索这些评估.
主要方法:
- 在2022年3月搜索了多个数据库 (Medline,Embase,PsycInfo,科学网,Scopus,ACM,IEEE,谷歌学者)
- 包括的研究集中在与临床护理相关的面向从业者的数据驱动的CDSS上,以信任或代理作为结果或讨论点.
- 按照PRISMA-ScR报告准则进行报告.
主要成果:
- 从3291篇选论文中,包括了85项初级研究.
- 假设系统比临床使用中的系统更常见 (24对18).
- 25项研究使用多种方法测量了信任;24项研究讨论了信任,确定透明度,可解释性和证据作为关键影响因素.
结论:
- 数据驱动的CDSS研究正在扩大,但利益相关者的看法,特别是可信度,需要进行更深入的调查.
- 进一步的研究应侧重于医疗保健从业者接受,强调透明度和可解释性,以指导临床实施.
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