Abstract
Battlefield medical rescue and sudden disaster medical rescue are called emergency medical rescue. Predictive care should be immediately given and resuscitation or surgical treatment should be carried out for seriously wounded people as soon as possible to ensure that they can be treated within 1 hour after injury. However, there exist some problems in the current emergency medical rescue system, which makes the system difficult to reach the optimum. In this study, optimization model analysis is conducted to improve rescue efficiency based on casualty data and numerical simulation is carried out to make reasonable medical strategy and allocate medical resources rationally. Firstly, single-lane queuing rescue model, cross-select queuing rescue model and cross-select queuing rescue model with waiting rules are established based on Queuing Theory. Secondly, collaborative rescue model is proposed based on three basic secure models to further optimize the emergency rescue system. Finally, numerical simulation is carried out with real casualty data of a medical rescue incident to verify the optimization effect of the model.
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