OPeR Project: Optimized Personnel Planning in Emergency Medical Services

Emergency services organizations face the challenge of reliably staffing their emergency vehicles with qualified personnel at all times – even in the event of short-term absences. In order to provide the best possible service to the population, reliable forecasts of personnel requirements and efficient scheduling of available personnel are needed. Resource-efficient deployment plans also contribute to higher job satisfaction. In the »OPeR« project, we are developing a novel approach to personnel planning in the emergency services.

Efficient Personnel Planning With Forecasts and Availability

At »OPeR«, we are collaborating with 8devs GmbH, a healthcare app development company, to research and develop methodological and technological solutions for optimizing duty rosters for emergency services personnel. Based on extensive data from past operations, we make predictions for future emergencies and the personnel requirements they will entail. These predictions are combined with information about available emergency responders to calculate optimal staffing schedules. This enables planners to always create the best possible duty roster for reliable and efficient emergency care.

Mathematical Models and AI for Optimal Duty Rosters

Data from past rescue operations is first processed using mathematical statistics methods. AI models are then created that reliably predict future staffing requirements. Contractual supply obligations and the availability of rescue personnel are mapped using discrete optimization models, while optimal duty rosters are calculated using constraint programming. Multi-criteria optimization methods also enable alternative planning options and support the selection of the most suitable duty roster. This allows personnel planners to create efficient and targeted deployment plans that meet their requirements.