Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or prolonged.When these types of events happen in rural communities,the resources of the local public he...Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or prolonged.When these types of events happen in rural communities,the resources of the local public health,healthcare,and emergency response organizations can be quickly depleted or overwhelmed.Planning for emergencies can help to mitigate their impact.Model-based systems engineering(MBSE)methods,including computer simulations,can provide insight on how best to prepare for these events and to explore the effects of varying approaches and resource utilization.To best apply these methods for improving disaster management in rural settings,a synthesis of the current body of evidence in this field is needed.The objective of this scoping review was to provide a descriptive overview of the application of computer simulation based on MBSE approaches to disaster preparedness and response for rural healthcare systems.Six studies met inclusion criteria,and varied in terms of MBSE method used,healthcare setting,and disaster type and context considered.We identified a gap in the research regarding the application of MBSE approaches to support rural healthcare disaster preparedness planning efforts.Model-based systems engineering and systems thinking,therefore,represent novel methods for developing tools and computational simulations that could assist rural communities better prepare for disasters.展开更多
Due to a lack of resources,rural communities often face challenges when planning catastrophic events.This project involved applying systems thinking and model-based systems engineering to develop a proof-of-concept,mu...Due to a lack of resources,rural communities often face challenges when planning catastrophic events.This project involved applying systems thinking and model-based systems engineering to develop a proof-of-concept,multi-method computer simulation and then determining whether the simulation could be used to assess the efficacy of disaster planning approaches on health outcomes in rural communities,as a function of primary healthcare.The project focus was a rural or non-urban healthcare system experiencing a natural hazard.Both system dynamics and discrete event models were incorporated to represent subsystem operations,crucial disaster responses,as well as three key response systems:public health,emergency management,and healthcare.The subsystem models included several components:policies/procedures,communications,resources,exercises/drills/training,healthcare space and staff,and the flow of affected people into and through the system.The combined simulation can serve as a first step to a more comprehensive approach to helping rural communities achieve more efficient and effective healthcare planning for disaster responses.展开更多
基金the financial support from UTK for selecting Ms.Marino for the Undergraduate Summer Research Award,which provided summer stipend and professional development opportunities
文摘Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or prolonged.When these types of events happen in rural communities,the resources of the local public health,healthcare,and emergency response organizations can be quickly depleted or overwhelmed.Planning for emergencies can help to mitigate their impact.Model-based systems engineering(MBSE)methods,including computer simulations,can provide insight on how best to prepare for these events and to explore the effects of varying approaches and resource utilization.To best apply these methods for improving disaster management in rural settings,a synthesis of the current body of evidence in this field is needed.The objective of this scoping review was to provide a descriptive overview of the application of computer simulation based on MBSE approaches to disaster preparedness and response for rural healthcare systems.Six studies met inclusion criteria,and varied in terms of MBSE method used,healthcare setting,and disaster type and context considered.We identified a gap in the research regarding the application of MBSE approaches to support rural healthcare disaster preparedness planning efforts.Model-based systems engineering and systems thinking,therefore,represent novel methods for developing tools and computational simulations that could assist rural communities better prepare for disasters.
基金funding support from Oak Ridge Associated Universities(ORAU)Foundations for this research。
文摘Due to a lack of resources,rural communities often face challenges when planning catastrophic events.This project involved applying systems thinking and model-based systems engineering to develop a proof-of-concept,multi-method computer simulation and then determining whether the simulation could be used to assess the efficacy of disaster planning approaches on health outcomes in rural communities,as a function of primary healthcare.The project focus was a rural or non-urban healthcare system experiencing a natural hazard.Both system dynamics and discrete event models were incorporated to represent subsystem operations,crucial disaster responses,as well as three key response systems:public health,emergency management,and healthcare.The subsystem models included several components:policies/procedures,communications,resources,exercises/drills/training,healthcare space and staff,and the flow of affected people into and through the system.The combined simulation can serve as a first step to a more comprehensive approach to helping rural communities achieve more efficient and effective healthcare planning for disaster responses.
