对数据驱动的决策支持工具的临床信任:定性采访研究
Ruth Evans1, Louise Bryant1, Gregor Russell1,2
1University of Leeds, UK.
Studies in health technology and informatics
|May 17, 2025
概括
医疗保健从业者发现数据驱动的临床决策支持 (CDSS) 工具对于患者的决策有用. 然而,他们优先考虑临床判断,对CDSS发展的理解有限,影响了信任.
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
- 医疗保健从业人员信任
背景情况:
- 数据驱动的临床决策支持系统 (CDSS) 在医疗保健中越来越普遍.
- 医疗保健从业人员对这些先进工具的信任缺乏理解.
- 医疗保健人员对CDSS实用性和可信度的看法对于有效实施至关重要.
研究的目的:
- 探索初级保健和瘤学从业人员对数据驱动临床决策支持 (CDSS) 的信心.
- 了解医疗保健人员对CDSS开发流程及其可信度的看法.
- 确定影响医疗保健人员采用和依赖CDSS的因素.
主要方法:
- 与初级保健和瘤学从业人员进行了定性采访.
- 采访的重点是使用数据驱动的CDSS,了解开发和可信度.
- 分析从业人员对CDSS功能和可靠性的见解.
主要成果:
- 实践者发现数据驱动的CDSS对于与患者共享决策非常有价值.
- 医疗保健人员在解释CDSS建议时强调他们临床判断的重要性.
- 实践者对CDSS开发和评估过程的理解是有限的.
结论:
- 虽然CDSS工具被认为是有用的,但它们的可信度受到从业者对临床专业知识的依赖的影响.
- 对开发流程的有限理解可能会影响对CDSS的信任.
- 未来的研究应该调查临床参与CDSS开发对可信度的影响.
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