Fraunhofer Institute for Software and Systems EngineeringThe ICON project addresses the questions: Can healthcare data, together with data from other data domains, help optimize processes, predict future disruptions, and simulate the impact of change? If so, this could be another powerful contribution to support healthcare systems facing the same challenges worldwide.
ICON – The predictive hospital
The challenge
Fraunhofer ISST and Aarhus University Hospital are collaborating in an applied research project to optimize hospital processes using the computing power of artificial intelligence and to increase patient safety. The processes in modern operating rooms and emergency rooms are complex, and a variety of systems and data streams are required to ensure a smooth process. Bringing together previously collected data from the healthcare sector, logistics and the hospital management system and making it usable is the key challenge in this project.
Our contribution
Fraunhofer ISST is looking at two special use cases that are connected to crucial hospital areas: the operating room and the emergency room.
Predicting surgery time: In this use case, retrospective data from the planning and execution of surgeries is incorporated into an algorithm that generates a time prediction for future surgeries.
Number of patients in the emergency room: This use case uses internal retrospective data from the emergency room, external data such as weather, traffic or calendar information and data on the current volume of positive rapid test results for various diseases to predict the number of patients who will come to the emergency room in the near future.
Partners
- Aarhus University Hospital
Funding
- Duration: 09/2022-08/2025