Information-driven care federated learning and synthetic data generation

Important results from the project

The overall aim of the project is to drive the change required for the regions to be able to work more information-driven. This has been done in the two tracks of the project a technical track and a track for discussion and knowledge transfer. The discussion track, with its 6 interregional working groups, has identified the necessary steps to take in the shift towards information-driven care. The technical track has focused on 1) data extraction at a region for analysis and prediction, 2) federated learning within a region, and 3) a new method for synthetic generation of health data.

Expected long term effects

The results can be summarized in four parts (see the attached project report for a more comprehensive description): 1) The two tracks of the project have delivered insights and proposals for activities for stage 2, the national system demonstrator. 2) Region Örebro´s sharp data extraction has led to important insights (legal, technical, organizational) connected to a region´s shift to info.driven care. 3) Federated learning within a region has been prepared (but not yet tested). 4) A new method for synthetic generation of health data has been tested and published.

Approach and implementation

The project had two main tracks a technical track and a track for interregional discussions and knowledge transfer. The technical track consisted of three sub-projects (data extraction, federated learning and synthetic data generation) with own responsibility for their respective sub-projects. The discussion track consisted of 6 groups that met digitally 2-3 times during the project period. The entire project group met 5 times where all sub-projects reported status. The common workspace was Teams, where documents and tips about relevant seminars, reports, etc. were shared

External links

Webbsida för projektet Informationsdriven vård - federerat lärande och syntetisk datagenerering.