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商业智能仪表板在患者安全与质量中的应用:一项叙事性文献回顾。

Business Intelligence Dashboards for Patient Safety and Quality: A Narrative Literature Review.

机构信息

Department of Health Information Science, University of Victoria, Canada.

Michael Smith Foundation for Health Research, Canada.

出版信息

Stud Health Technol Inform. 2022 Jun 6;290:438-441. doi: 10.3233/SHTI220113.

Abstract

Business Intelligence (BI) dashboards are interactive data visualization displays identifying key patient quality and safety trends and metrics. Yet, it remains unclear whether dashboards are impacting clinical care for desired organizational outcomes. In this paper we summarize the positive and negative impacts of dashboards on safety and quality from the literature and those insights are used to develop a dashboard checklist tool. The research involved 3 phases. In Phase 1 a narrative literature review used "Dashboards AND ("Patient Safety" OR "Quality")" as primary search terms. In Phase 2, A SWOT (strengths, weaknesses, opportunities, threats) analysis was conducted based on the findings from the previous phase. Strengths and opportunities included focusing on metrics, clear goals, routine data review processes, transparency, quality improvement interventions and centralized monitoring. Weaknesses and threats included usability issues, cultural barriers, wrong metrics, tunnel vision and siloed development. Phase 3 involves translating the SWOT analysis to a checklist for evidence informed dashboard development and deployment.

摘要

商业智能 (BI) 仪表板是交互式数据可视化显示器,用于识别关键患者质量和安全趋势及指标。然而,目前尚不清楚仪表板是否正在影响临床护理以实现预期的组织成果。在本文中,我们总结了文献中仪表板对安全和质量的正反两方面影响,并利用这些见解开发了仪表板检查表工具。该研究包括 3 个阶段。在第 1 阶段,使用“仪表板和(“患者安全”或“质量”)”作为主要搜索词进行叙述性文献综述。在第 2 阶段,根据前一阶段的发现进行了 SWOT(优势、劣势、机会、威胁)分析。优势和机会包括关注指标、明确目标、常规数据审查流程、透明度、质量改进干预措施和集中监测。劣势和威胁包括可用性问题、文化障碍、错误指标、管窥和孤立开发。第 3 阶段涉及将 SWOT 分析转化为检查表,以用于有证据支持的仪表板开发和部署。

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