Developing risk management dashboards using risk and quality measures: A visual best practices approach
| Autor: | Dana Siegal, Robert F. Bunting |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Databases
Factual Computer science Best practice Decision Making MEDLINE Risk Assessment 03 medical and health sciences 0302 clinical medicine Health care Humans 030212 general & internal medicine Proxy (statistics) Risk management Quality of Health Care Risk Management Audiovisual Aids business.industry 030503 health policy & services General Medicine IT risk management Risk analysis (engineering) Enterprise risk management Practice Guidelines as Topic 0305 other medical science business Risk assessment Delivery of Health Care |
| Zdroj: | Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management. 37(2) |
| ISSN: | 2040-0861 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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