Epidemic-related hospital resource requirements - modeling incidence, bed occupancy, staff scheduling, and supply chains


In the context of the COVID-19 pandemic, it has been observed on several occasions that increased patient volume can quickly lead to an overload of available healthcare capacity. In addition to inadequate care for infected patients, this has far-reaching implications for the efficiency of the complete healthcare system. To better address the challenges of such threats in the future, PROGNOSIS aims to ensure improved management of infectious diseases.


PROGNOSIS is a collaborative project funded by the German Federal Ministry of Education and Research with the aim of predicting the burden of hospital due to serious infectious diseases. Together with the University of Leipzig, RWTH Aachen University and the Center for Evidence-Based Health Research (Technical University of Dresden), data-driven short-term and mechanistic long-term forecasting models are being designed to make predictions regarding epidemic development for different time periods, as well as at different geographical levels. Based on this, the Chair of Health Care Operations/Health Information Management in cooperation with the Chair of Information Systems and Logistics at WWU Münster develops and evaluates economic hospital models to estimate the impact of such threats. By combining the models, a planning tool is provided which enables the operational-online development of appropriate counterstrategies.


Cooperation partners:


For questions and further information please contact Dr. Jan Schoenfelder or Markus Schüller, the project manager of the chair.