BTU overview
Faculty 1
Chair of Engineering Mathematics and Numerical Optimization Prof. Dr. rer. nat. habil. Armin Fügenschuh

AI Rescue - AI-based data analysis and simulation in the rescue service

The rescue chain of an emergency medical service (EMS) system - the process from the receipt of an emergency call to the transport to an emergency department - is a highly complex system that only works well under coordination and collaboration of all contributing parties (operation centers, hospitals, rescue services).
Agent-based modeling can be used to identify the current state of the system and how changes in demand, budget or law affect response times, utilization rates or
survival rates. With the aim of providing qualified emergency medical care as quickly as possible for patients in need, different optimization approaches can be applied on strategic, tactical and operational planning level:
Potential base locations, dimensioning resources, workforce planning, deployment strategies, dynamic redeployment of ambulances, dispatching polices, destination
hospital selection, patient transport planning and demand forecasting. Finally the simulation results of the Lausitz region should provide information about the possible use of artificial intelligence for optimization purposes.

Partners:


Björn-Steiger-Stiftung e.V.
Brandenburgisches Institut für Gesellschaft und Sicherheit
Hasso-Plattner-Institut Digital Health - Connected Healthcare

Funding


BMVI - Bundesministerium für Verkehr und digitale Infrastruktur

In the Media (in German)