Publication Date
2019
Document Type
Thesis
Committee Members
Pratik Parikh (Advisor), Xinhui Zhang (Committee Member), Nan Kong (Committee Member)
Degree Name
Master of Science in Industrial and Human Factors Engineering (MSIHE)
Abstract
Trauma is any physical injury that has the potential to cause prolonged disability and death if the appropriate level of care is not administered in a timely fashion. Existing approaches in the literature and by the American College of Surgeons (ACS) to optimize the network of trauma centers are limiting. To address this challenge, we introduce the Trauma Network Design Problem, a bi-objective mathematical model that aims at determining the optimal trauma network by minimizing the weighted sum of mistriages. We use the trauma network data from 2012 for the state of Ohio to illustrate the use of our approach and conduct sensitivity analysis. While substantial improvements in mistriages can be realized through our approach, the solutions are sensitivity of the weights in the objective terms, trauma volume, and threshold values. We also illustrate how our approach can be used to compare suggestions from the ACS’s NBATS tool.
Page Count
46
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
2019
Copyright
Copyright 2019, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may not be modified. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
ORCID ID
0000-0001-9521-202X
