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

doi:10.1007/s13753-023-00492-z

Volume 14 Issue 3

Jul. 2023

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Article Navigation > International Journal of Disaster Risk Science > 2023 > 14(3): 357-368

Thomas A. Berg, Kelsi N. Marino, Kristina W. Kintziger. The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review[J]. International Journal of Disaster Risk Science, 2023, 14(3): 357-368. doi: 10.1007/s13753-023-00492-z

Citation:

Thomas A. Berg, Kelsi N. Marino, Kristina W. Kintziger. The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review[J]. International Journal of Disaster Risk Science, 2023, 14(3): 357-368. doi: 10.1007/s13753-023-00492-z

Citation:

Thomas A. Berg, Kelsi N. Marino, Kristina W. Kintziger. The Application of Model-Based Systems Engineering to Rural Healthcare System Disaster Planning: A Scoping Review[J]. International Journal of Disaster Risk Science, 2023, 14(3): 357-368. doi: 10.1007/s13753-023-00492-z

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

doi: 10.1007/s13753-023-00492-z

1. College of Nursing, University of Tennessee-Knoxville, Knoxville, TN, 37966, USA;
2. College of Public Health, University of Nebraska Medical Center, Omaha, NE, 68198, USA

Funds:

The authors thank Melanie Dixon, Health Sciences Librarian, Jeanine Williamson Fletcher, Engineering and Veterinary Medicine Librarian, at the University of Tennessee, Knoxville (UTK) for their assistance with refining the keywords and search process for this scoping review. We also appreciate the financial support from UTK for selecting Ms. Marino for the Undergraduate Summer Research Award, which provided summer stipend and professional development opportunities.

Accepted Date: 2023-05-08

Available Online: 2023-07-03

Publish Date: 2023-05-24

Abstract

Abstract

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.
- Computer simulation,
- Disaster preparedness,
- Model-based systems engineering,
- Rural healthcare,
- Systems thinking

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References(53)

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