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Optimizing patient flows in emergency healthcare with AI

Reference number
Coordinator Västra Götalandsregionen - Kompetenscentrum AI
Funding from Vinnova SEK 156 010
Project duration November 2024 - September 2025
Status Completed
Venture International individual mobility within cutting-edge technology
Call Closed offer - International individual mobility for cutting-edge technology 2024

Important results from the project

The project has achieved its objective, especially through the collaboration with the Clinical Operational Research Unit at University College London. The testing of the prediction tool has given good results, which has paved the way for further testing. The project has also strengthened the expertise within the AI Competence Centre and led to increased networking with other hospitals in Swedish regions. It has also enabled the project group to present the work in an international context.

Expected long term effects

If the evaluated prediction tool can be implemented and subsequently used in the operations at Sahlgrenska, it could enable the development of processes for a more efficient handling of high patient inflow, which in turn can strengthen both the quality of patient care and the clinical work environment. The goal is also a continued collaboration between Clinical Operational Research Unit and the AI Competence Centre as well as a strengthened network between hospitals in different Swedish regions.

Approach and implementation

The project has been conducted according to plan and was based on two visits from Kompetenscentrum AI to the Clinical Operational Research Unit – a longer visit of four weeks and a shorter one of two weeks. Both visits contributed to progress in testing the prediction tool and to the exchange of experience. The collaboration has also continued remotely during the periods in between. The schedule was followed with only minor adjustments, and the collaboration between the parties has worked well.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 1 December 2025

Reference number 2024-03568