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Developing risk management dashboards using risk and quality measures: A visual best practices approach
Author(s) -
Bunting Robert F.,
Siegal Dana
Publication year - 2017
Publication title -
journal of healthcare risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 16
eISSN - 2040-0861
pISSN - 1074-4797
DOI - 10.1002/jhrm.21287
Subject(s) - best practice , risk management , risk analysis (engineering) , computer science , quality (philosophy) , quality management , dashboard , proxy (statistics) , data science , operations management , business , management system , engineering , machine learning , philosophy , management , finance , epistemology , economics
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.