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

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 o...

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Autores principales: Berg, Thomas A., Marino, Kelsi N., Kintziger, Kristina W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206547/
http://dx.doi.org/10.1007/s13753-023-00492-z
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author Berg, Thomas A.
Marino, Kelsi N.
Kintziger, Kristina W.
author_facet Berg, Thomas A.
Marino, Kelsi N.
Kintziger, Kristina W.
author_sort Berg, Thomas A.
collection PubMed
description 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.
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spelling pubmed-102065472023-05-25 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. Int J Disaster Risk Sci Article 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. Springer Nature Singapore 2023-05-24 /pmc/articles/PMC10206547/ http://dx.doi.org/10.1007/s13753-023-00492-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Berg, Thomas A.
Marino, Kelsi N.
Kintziger, Kristina W.
The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
title The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
title_full The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
title_fullStr The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
title_full_unstemmed The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
title_short The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review
title_sort application of model-based systems engineering to rural healthcare system disaster planning: a scoping review
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206547/
http://dx.doi.org/10.1007/s13753-023-00492-z
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