Development of a Human Factors–Based Guideline to Support the Design, Evaluation, and Continuous Improvement of Clinical Decision Support

Selvana Awad BPharm, MHSM , Thomas Loveday MPsych, PhD , Richard Lau BPsychSc , Melissa T. Baysari BPsych, PhD
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引用次数: 0

Abstract

Objective

To develop a vendor-agnostic, human factors (HF)-based guideline to guide the design, evaluation, and continuous improvement of clinical decision support (CDS).

Participants and Methods

The study used a 2-phased iterative approach between June 2022 and June 2024. Phase 1 involved a search for relevant industry standards and literature and consultation with multidisciplinary subject matter experts. Phase 2 involved a workshop with 30 health care and academic stakeholders to evaluate face validity and perceived usefulness of the initial section of the guideline. Participants were asked if the guideline met their expectations, to report on usefulness and ease of use and to suggest areas for improvement.

Results

Phase 1 resulted in a compilation of accessible, best practice, and context-appropriate HF guidance for CDS design and optimization. The guideline supports users in determining whether use of CDS is appropriate, and if yes, CDS options and design guidance. During phase 2, the guideline addressed 15 of participants’ 19 expectations for a CDS guideline. Participants said the guideline was helpful, comprehensive, easy to use, and provided step-by-step guidance, boundaries, and transparency around CDS decisions. Participants recommended strengthening guidance around the need to understand system capabilities and the technical burden or complexity of CDS, and further guidance on how to approach CDS optimization using the guideline.

Conclusion

The 2-phased iterative development and feedback process resulted in the development of an HF-informed guideline to provide consolidated, accessible, and current best practice guidance on the appropriateness of CDS and CDS options, as well as designing, evaluating, and continuously improving CDS. Future work will evaluate the impact and implementation of the guideline in real-world settings.
基于人为因素的临床决策支持设计、评估和持续改进指南的发展
目的建立与供应商无关、基于人为因素(HF)的临床决策支持(CDS)设计、评估和持续改进指南。该研究在2022年6月至2024年6月期间采用了两阶段迭代方法。第一阶段包括搜索相关的行业标准和文献,并咨询多学科主题专家。第二阶段包括一个有30个卫生保健和学术利益攸关方参加的研讨会,以评估指南最初部分的表面效度和感知有用性。参与者被问及指南是否符合他们的期望,报告有用性和易用性,并提出改进的领域。结果第一阶段为CDS设计和优化提供了可访问的、最佳实践的、适合上下文的HF指南。该指南支持用户确定使用CDS是否合适,如果是,则提供CDS选项和设计指导。在第二阶段,该指南解决了参与者对CDS指南的19个期望中的15个。与会者表示,该指南很有帮助、全面、易于使用,并就CDS决策提供了分步指导、界限和透明度。与会者建议,围绕了解系统能力和CDS的技术负担或复杂性的必要性加强指导,并就如何利用该指南实现CDS优化提供进一步指导。结论:两个阶段的迭代开发和反馈过程最终形成了一份基于hf的指南,为CDS和CDS选择的适当性以及CDS的设计、评估和持续改进提供了统一的、可获取的和当前的最佳实践指南。未来的工作将评估该指南在现实环境中的影响和实施情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mayo Clinic Proceedings. Digital health
Mayo Clinic Proceedings. Digital health Medicine and Dentistry (General), Health Informatics, Public Health and Health Policy
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