A proposed approach for modeling healthcare systems for understanding
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Verification and validation of simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
A simulation model for bioterrorism preparedness in an emergency room
Proceedings of the 38th conference on Winter simulation
Staffing a pandemic urgent care facility during an outbreak of pandemic influenza
Winter Simulation Conference
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This study proposes a nurse allocation policy to manage patient overflow during a pandemic influenza outbreak. The objective is to minimize the number of patients waiting in queue to be treated for the virus while maximizing patient flow. The model is built using ARENA simulation software and OptQuest heuristic optimization to propose various combinations for the number of nurses needed for healthcare delivery. Results are compared with a basic setting that closely emulates the resources and components in a Veteran's Hospital. The proposed method significantly reduces the number of patients waiting in queue (between 4 to 37 percent on average) for the simulated zones. ARENA process analyzer was used to evaluate various scenarios for nurse availability. Sensitivity on the results for these changes was tested by increasing the flow of patients through the system.