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使用风险和质量指标开发风险管理仪表板:一种可视化最佳实践方法。

Developing risk management dashboards using risk and quality measures: A visual best practices approach.

作者信息

Bunting Robert F, Siegal Dana

机构信息

30 years of health care experience in risk management, quality improvement, data analytics, and laboratory science.

CRICO Strategies.

出版信息

J Healthc Risk Manag. 2017 Oct;37(2):8-28. doi: 10.1002/jhrm.21287. Epub 2017 Sep 28.

DOI:10.1002/jhrm.21287
PMID:28960593
Abstract

Because quality measures are ubiquitous, health care risk management leaders often use them as a proxy for risk management measures. While certain quality measures adequately reflect some aspects of risk management, they are neither a perfect nor complete substitute for well-developed and comprehensive risk management measures. Using a comprehensive approach consisting of quality measures, risk measures, and measures that are less amenable to classification would be the best approach. Identifying the most powerful and informative measures, designing the most appropriate dashboards, and incorporating visual best practices are crucial steps required for evaluating the effectiveness and value of an enterprise risk management program. The authors explain the terms and concepts, review the measures available in the literature, propose new measures, discuss visual best practices, and provide sample dashboard components.

摘要

由于质量指标无处不在,医疗保健风险管理领导者常常将其用作风险管理措施的替代指标。虽然某些质量指标能充分反映风险管理的某些方面,但它们既不是完善的,也不是全面风险管理措施的完整替代品。采用由质量指标、风险指标以及难以归类的指标组成的综合方法才是最佳途径。识别最有力且信息丰富的指标、设计最合适的仪表盘并纳入可视化最佳实践,是评估企业风险管理计划有效性和价值所需的关键步骤。作者解释了术语和概念,回顾了文献中可用的指标,提出了新指标,讨论了可视化最佳实践,并提供了示例仪表盘组件。

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