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Prioritizing Patients in the Aftermath of Mass Casualty Events Considering Different Resources

Mohammadi, Reyhaneh | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45878 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Shavandi, Hassan
  7. Abstract:
  8. In the aftermath of mass-casualty events, main resources may be overwhelmed by the sudden jump in demand. To ration these resources with considering the patients priority for help, mean triage. For prioritizing the patient for help, the limitation of resources should be considered. These resources can be different. This thesis at the first step investigates how the priority assignment can be done in a clearing system and what the potential benefits would be when there are same resources in the system. At the next step, the difference between resources is considered. So in this thesis, the problem of priority assignment of patients in an emergency system is modeled and analyzed at first with two types of patients and one group of resource and then with two types of patients and two groups of resources. The patients are classified based on their lifetime (i.e., their tolerance for wait), service time, and reward distributions. The objective is to maximize the expected total reward. A model for the problem of different resources is developed using stochastic dynamic programming and then with an approximated model, approximated policies are identified for maximizing the expected total reward in the presence of some conditions in the system. For other conditions, some heuristic policies are proposed. Using numerical simulations, the performance of approximated model and the heuristic policies are measured. These policies are performed well with high confidence
  9. Keywords:
  10. Dynamic Programming ; Prioritization ; Stochastic Scheduling ; Triage ; Emergency Response ; Clearing System

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