Project R-16731

Optimisation of dynamic Emergency medical services resoURce deplOyment in prehospital Care missions through mathematical modeling and Artificial Intelligence along the German, Dutch and Belgian boRdEr (Research)

The increasing demand for emergency medical services is leading to an annual rise in deployments. In Aachen, this growth amounts to 3–6% per year (internal data), mirroring trends across Germany and the Netherlands (WDR, 2024; RIVM, 2022, 2023). In 2023, target response times for life-threatening (A1) incidents were not met in the Limburg region (North and South) (VZINFO, 2024), nor were they met in adjacent German regions (SWR, 2024). This development poses a threat to timely and adequate pre-hospital care. Traditional solutions, such as hiring extra staff or adding more ambulances, are expensive and unsustainable. A forward-thinking solution for the Euregio Meuse-Rhine (EMR) area is an Artificial Intelligence (AI)-supported dispatch system. By utilizing predictive analytics, this system optimizes the deployment of available resources and shortens response times. Early identification of understaffed areas allows dispatchers to reposition resources strategically. Furthermore, features such as standardized digital deployment requests and AI-driven speech translation make cross-border cooperation faster and more effective. EURO-cAIre connects dispatch centers in Aachen and Maastricht using modern technology, artificial intelligence, smart traffic planning, and live speech translation. This enables them to jointly determine which ambulance can arrive at the scene fastest, regardless of national borders. The results are shortened response times, improved cooperation, and enhanced data exchange. Without this project, processes will remain slow and analog. The project encompasses the technical and organizational adaptation of existing technology to the cross-border context, the execution of pilot programs, and the development of a long-term implementation plan.

01 April 2026 - 31 March 2029