The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning:A Scoping Review
作者机构:College of NursingUniversity of Tennessee-KnoxvilleKnoxvilleTN37966USA College of Public HealthUniversity of Nebraska Medical CenterOmahaNE68198USA
出 版 物:《International Journal of Disaster Risk Science》 (国际灾害风险科学学报(英文版))
年 卷 期:2023年第14卷第3期
页 面:357-368页
核心收录:
学科分类:12[管理学] 1204[管理学-公共管理] 081405[工学-防灾减灾工程及防护工程] 08[工学] 081303[工学-城市规划与设计(含:风景园林规划与设计)] 0837[工学-安全科学与工程] 0813[工学-建筑学] 0814[工学-土木工程] 0833[工学-城乡规划学] 083302[工学-城乡规划与设计]
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
主 题:Computer simulation Disaster preparedness Model-based systems engineering Rural healthcare Systems thinking
摘 要:Disasters and other emergency events have complex effects on human systems,particularly if the events are severe or *** 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 *** for emergencies can help to mitigate their ***-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 *** best apply these methods for improving disaster management in rural settings,a synthesis of the current body of evidence in this field is *** 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 *** studies met inclusion criteria,and varied in terms of MBSE method used,healthcare setting,and disaster type and context *** identified a gap in the research regarding the application of MBSE approaches to support rural healthcare disaster preparedness planning ***-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.