A Life in the day is mostly about what people do with their lives when they are well, but what happens when a black hole opens in our lives? We cannot get on and do things and the…
Abstract
A Life in the day is mostly about what people do with their lives when they are well, but what happens when a black hole opens in our lives? We cannot get on and do things and the best that seems possible is for there to be someone available to listen to how we feel. Colin Edington of Voices Speak Out writes about how overwhelmingly incapacitating it is to have a bout of severe depression.
Susan P. McGrath, Emily Wells, Krystal M. McGovern, Irina Perreard, Kathleen Stewart, Dennis McGrath and George Blike
Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering…
Abstract
Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.