Modeling of Emergency Medical Service in Flu Season: Algorithm for Dispatching Ambulance Units

摘要

Flu-season causes increase number of calls for emergency medical service, so that number of calls received by dispatchers are usually much larger, than the number of available ambulance units. Often it is very hard for dispatchers to get the right decision, as they have to compare sometimes more than 50 cases in the current set. We decided to work out the model of emergency medical service and apply the algorithm for dispatching ambulance units in flu season. The programming language Python is used for implementing the algorithms. Applying algorithms should be a practical help for dispatchers assisting them make the best possible decisions without losing precious time. The dataset is collected from the usual case-cards filled by operators of Georgian Emergency and Operative Response Center. The algorithms make possible to compute objective value of risk factor for each case. The accuracy of revealing urgent cases using algorithms presented in the work is sufficiently high, being the same as that of experienced medics for the analyzed flu-case set.