The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning:A Scoping Review

被引:0
|
作者
Thomas A.Berg [1 ]
Kelsi N.Marino [1 ]
Kristina W.Kintziger [2 ]
机构
[1] College of Nursing,University of Tennessee-Knoxville
[2] College of Public Health,University of Nebraska Medical Center
关键词
D O I
暂无
中图分类号
TU984.14 [文教区规划]; TU984.116 [];
学科分类号
081303 ; 081405 ; 083302 ; 0837 ; 1204 ;
摘要
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.
引用
收藏
页码:357 / 368
页数:12
相关论文
共 50 条
  • [1] The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
    Thomas A. Berg
    Kelsi N. Marino
    Kristina W. Kintziger
    [J]. International Journal of Disaster Risk Science, 2023, 14 : 357 - 368
  • [2] The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
    Berg, Thomas A.
    Marino, Kelsi N.
    Kintziger, Kristina W.
    [J]. INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE, 2023, 14 (03) : 357 - 368
  • [3] A Model-Based Systems Engineering Approach to Capturing Disaster Management Systems
    Soyler, Asli
    Sala-Diakanda, Serge
    [J]. 2010 IEEE INTERNATIONAL SYSTEMS CONFERENCE, 2010, : 283 - 287
  • [4] Role model of model-based systems engineering application
    Graessler, Iris
    Wiechel, Dominik
    Pottebaum, Jens
    [J]. 19TH DRIVE TRAIN TECHNOLOGY CONFERENCE (ATK 2021), 2021, 1097
  • [5] Application of Model-Based Systems Engineering Concepts to Support Mission Engineering
    Beery, Paul
    Paulo, Eugene
    [J]. SYSTEMS, 2019, 7 (03):
  • [6] Disaster management in rural and remote primary healthcare settings: a scoping review protocol
    Willson, Katie
    Lim, David
    [J]. JBI EVIDENCE SYNTHESIS, 2020, 18 (01) : 81 - 86
  • [7] Model-Based Systems Engineering Applied to the Trajectory Planning for Autonomous Vehicles
    Bansal, Siddharth
    Alimardani, Fatemeh
    Baras, John S.
    [J]. 2018 4TH IEEE INTERNATIONAL SYMPOSIUM ON SYSTEMS ENGINEERING (ISSE), 2018,
  • [8] Application of model-based systems engineering to MANIFEST conceptual design
    Goodwin, Michael
    Adams, David
    Brown, Rebecca
    Hartmann, Vitor N.
    Lacombe, Celestina
    Lahoz, Carlos H. N.
    Lawrence, Jon
    May, D.
    O'Brien, Ellie
    Zafar, Tayyaba
    [J]. MODELING, SYSTEMS ENGINEERING, AND PROJECT MANAGEMENT FOR ASTRONOMY X, 2022, 12187
  • [9] The Application of Model-Based Systems Engineering to the Practice of Clinical Medicine
    Khayal, Inas S.
    Farid, Amro M.
    [J]. 2017 11TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), 2017, : 234 - +
  • [10] Model-Based Systems Engineering for Machine Tools and Production Systems (Model-Based Production Engineering)
    Kuebler, Karl
    Scheifele, Stefan
    Scheifele, Christian
    Riedel, Oliver
    [J]. 4TH INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: INTELLIGENT, FLEXIBLE AND CONNECTED SYSTEMS IN PRODUCTS AND PRODUCTION, 2018, 24 : 216 - 221