基于人类因素的指导方针的制定,以支持临床决策支持的设计,评估和持续改进
Selvana Awad1,2, Thomas Loveday2, Richard Lau2
1Biomedical Informatics and Digital Health, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Australia.
Mayo Clinic proceedings. Digital health
|April 10, 2025
概括
一个新的基于人类因素 (HF) 的指导方针有助于临床决策支持 (CDS) 的设计,评估和改进. 这种供应商无关的工具为CDS的适当性和优化提供了最佳实践.
科学领域:
- 医疗信息学 医疗信息学
- 人类因素工程 人类因素工程
- 临床决策支持系统 临床决策支持系统
背景情况:
- 临床决策支持 (CDS) 系统在医疗保健中至关重要,但需要仔细设计和评估.
- 现有的指南可能缺乏供应商中立性或全面的人力因素方法.
- 优化CDS对于安全有效的患者护理至关重要.
研究的目的:
- 为设计,评估和持续改进CDS制定基于供应商不可知的人为因素 (HF) 的指导方针.
- 为CDS实施和优化提供可访问的最佳实践指南.
主要方法:
- 从2022年6月到2024年6月,采用了两阶段的代方法.
- 第1阶段涉及文献审查和专家咨询,以编制CDS的HF指南.
- 第二阶段包括一个利益相关者研讨会,以评估指南的正面有效性和感知到的有用性.
主要成果:
- 该指南为CDS设计,适当性和优化提供了全面的HF指导.
- 利益相关者发现指南有帮助,全面,易于使用,并提供一步一步的指导.
- 参与者建议加强对系统能力,技术复杂性和优化策略的指导.
结论:
- 通过一项代过程,制定了一个基于高频率的指导方针,为CDS提供了整合的最佳实践.
- 该指南涉及CDS的适当性,设计,评估和持续改进.
- 未来的工作重点是评估指南的实际影响和实施.
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