Improving emergency medical dispatching with emphasis on mass-casualty incidents.
Dispatching ambulances is a demanding and stressful task for dispatchers. This is especially true in case of mass-casualty incidents. Therefore, the aim of this work was to investigate if and to what extent the dispatch operation of the Red Cross Salzburg can be optimized on such occasions with a computerized system. The basic problem of a dynamic multi-vehicle Dial-a-Ride Problem with time windows was enhanced according to the requirements of the Red Cross Salzburg. The general objective was to minimize the total mileage covered by ambulances and the waiting time of patients. Furthermore, in case of emergencies suitable adaptions to a plan should be carried out automatically. Consequently, the problem is solved by using the Adaptive Large Neighborhood Search. Evaluation results indicate that the system outperforms a human dispatcher by between 2.5% and 36% within 1 minute of runtime concerning total costs. Moreover, the system's response time in case that a plan has to be updated is less than 1 minute on average.
Institute for eHealth, Graz University of Applied Sciences, Austria.
Gabriel
G
Kleinoscheg
Institute for eHealth, Graz University of Applied Sciences, Austria.
Harald
H
Burgsteiner
Computational Logistics Lab, Salzburg Research Forschungsges.m.b.H., Austria.
Martin
M
Bernroider
Computational Logistics Lab, Salzburg Research Forschungsges.m.b.H., Austria.
Günter
G
Kiechle
Computational Logistics Lab, Salzburg Research Forschungsges.m.b.H., Austria.
Maria
M
Obermayer
D000465:Algorithms; D000552:Ambulances / Q000458:organization & administration*; D001317:Austria; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003660:Decision Support Systems, Management / Q000458:organization & administration; D003661:Decision Support Techniques; D017598:Efficiency, Organizational; D004631:Emergency Medical Service Communication Systems / Q000458:organization & administration*; D040362:Geographic Information Systems / Q000458:organization & administration; D015276:Health Care Rationing / Q000379:methods / Q000458:organization & administration*; D007256:Information Systems / Q000458:organization & administration; D054527:Mass Casualty Incidents; D012011:Red Cross / Q000458:organization & administration