| Title | Victim-to-Hospital Assignment Strategies after Mass-Casualty Incidents |
| Year | 2018 |
| Degree | Master |
| School | Department of Transportation and Logistics Management College of Management National Chiao Tung University |
| Author | |
| Summary | After a mass-casualty incident, nearby hospitals are overwhelmed by the surge of victims. Many victims may thus die due to failing to efficiently and effectively utilize limited medical resources. Presents a logistical challenge to rapidly process a large number of casualties to definitive medical care. Hence, this research uses queueing network and simulation techniques to suggest efficient and effective victim-to- hospital assignment strategies to save most lives.
We model this problem as a queueing network to show the characteristic that patients wait for medical care at casualties collection points and hospital. Besides, queueing network also highlight the traits that the capacity of each hospital differs from time due to patients’ arrival rate and medical service rate. We use the result of simulation to compare different strategies. The measurement of immediate patients is survival probability. In contrast of immediate patients, delayed patients are relatively stable and surely survive. Hence, we consider recover rate as delayed patients’ measurement. According to the simulation results of different policies, we can give useful recommendation to the commander during mass-casualty incidents. Last but not the least, we use the Kaohsiung Earthquake data in 2016 as numerical experience. A building in Tainan collapsed and many people died from the earthquake. We compare the historical result of patients assignment with the proposed strategies by simulation. |
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