The increase in weather events such as extreme heat and heavy rain poses new challenges for rescue services, hospitals, fire departments and disaster control in Germany. Although dispatch centers already collect large amounts of data along the rescue chain, the systematic evaluation of this data still comes up short. Moreover, there are no tools yet to simulate or plan the rescue chain especially under the influence of extreme weather events. This includes not only rescue operations but also the qualified transport of patients.
Through AIRCIS, we want to strengthen the resilience of public services in the area of healthcare and mobility in Lusatia. To this end, we plan to develop a model that forecasts the number of calls received by the dispatch center using artificial intelligence. Based on the model, a simulation is developed that maps the entire rescue chain. With the help of further data, extreme weather events such as heavy rain and heat-related health effects can be fed into the simulation and the dispatch center will receive a tool for the targeted planning of their resources. In the consortium, BIGS is mainly responsible for project management and the organization of expert workshops as well as networking activities.
Further information can be found in the press statement (in German).