To advance the goal of Getting to Zero and eliminating preventable harm, ASHRM is providing guidance for defining, investigating, and measuring serious safety events. The first step in this process is the recommendation for a common and standardized definition. A common definition for a serious safety event facilitates timely detection, rapid action, and future prevention. This paper outlines that definition, provides a skill-based model for investigation, and explains a clear plan for how to conduct the investigation. A measurement system is described to determine the frequency of SSEs and comparison methods to determine events prevented, potential lives saved, and methods to demonstrate financial loss control. These methods and approach are consistent with ASHRM's core values and mission, which is safe and trusted healthcare.
The publication of To Err Is Human in 2000, followed by Crossing the Quality Chasm in 2001, marked a watershed in patient safety. The Institute of Medicine (IOM) reports intensified the focus on patient safety and demanded a redesign of the healthcare system to improve quality and safety. Since publication of these reports, the focus has been on improving processes--those methods of healthcare delivery prone to failure and errors. Recently, there has been a concerted and sustained drive to add cognitive (diagnostic) errors to the focus. The recent publication of the IOM's Improving Diagnosis in Health Care has expanded the focus on patient safety and quality improvement. A new focus on diagnostic errors augments rather than replaces the previous focus. In this article, the authors offer a brief review of To Err Is Human and Crossing the Quality Chasm to lay a historical foundation. They then discuss a transition into the focus on diagnostic errors and summarize the latest recommendations from Improving Diagnosis in Health Care. This collated synthesis of 3 powerful IOM reports should guide risk managers and other healthcare personnel as they strive to improve every aspect of healthcare delivery.
Most medical schools and postgraduate residency programs do not focus adequate attention on risk management and quality management issues. This article will prepare physicians with an adequate working knowledge of risk management and quality management information, which will enable them to practice more effectively in today's litigious and regulatory climate.
Medical errors cause significant patient injuries, including deaths. Innovations designed to improve quality and reduce risk are numerous, as are the barriers that prevent innovation implementation. The purpose of this research was to analyze the relationships, if any, between the independent variables of hospital bed size and organizational structure, and the dependent variable barriers to three innovations: implementing a surgical safety checklist, preventing catheter-associated urinary tract infections, and adopting patient- and family-centered care. The findings strengthen and expand existing research and serve as the foundation for understanding barriers to implementation of three healthcare innovations. Future research should focus on organizational culture instead of innovation-specific barriers and should incorporate other independent variables, such as organizational profitability.
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.
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