Imagine a city's traffic system that can instantly reroute cars to avoid a massive jam. This project does that for hospitals during a crisis, moving patients from crowded wards to home-based or community care. It uses smart forecasting to make sure doctors and beds are used where they are needed most without losing quality of care.
Healthcare systems crash during emergencies, creating massive backlogs in regular care. This leads to poor patient outcomes because resources like beds and staff cannot be shifted flexibly between hospitals and homes.
A portfolio of resource optimization models, forecasting scenarios, and a dashboard for managing hybrid care delivery.
If you are a software provider dealing with rigid scheduling tools — this project developed resource optimization models that allow hospitals to shift care to home environments. This helps your clients maintain service quality during emergencies.
If you are a remote care provider dealing with low adoption during crises — this project developed hybrid care tools that combine in-person and remote services. This enables a faster relocation of care from hospitals to the home.
If you are a government agency dealing with hospital backlogs — this project developed forecasting scenarios to predict care needs. This allows you to optimize the use of doctor's time and bed capacity across 7 countries.
Based on available project data, no pricing or cost information is provided as this is a research project.
The project is designed for cross-border use across Europe, involving 13 partners from 7 countries, suggesting a high potential for regional scaling.
Based on available project data, specific licensing terms are not mentioned, though results will be shared widely to benefit Europe.
The project focuses on developing a portfolio of tools and dashboards that help managers model resource use, such as beds and staff time.
The project runs from 2024-01-01 to 2027-12-31, with a final demonstration using a mock epidemic at the end.
The consortium is heavily weighted toward academic and research institutions, with 7 universities and 1 research center. However, it maintains a 15% industry ratio with 2 industry partners and 1 SME, ensuring that the 13-partner group has a bridge between theoretical modeling and practical application across 7 different countries.
Contact Stichting Radboud Universitair Medisch Centrum in the Netherlands
Contact us to explore licensing opportunities for the resource optimization models.
