Co-Creation and Advanced Analytics in Register-Based Analysis of Families with Children;
: Helkiö, Marika; Kuromaa, Anna; Stolt, Minna; Kuusisto, Anne
: Giacomini, Mauro; Delgado, Jaime; Arvanitis, Theodoros N.; Andrikopoulou, Elisavet; Benis, Arriel; Balestra, Gabriella; Bellazzi, Riccardo; Gallos, Parisis; Gatta, Roberto; Giacobbe, Daniele Roberto; Giordano, Noemi; Hägglund, Maria; Lindsköld, Lars; Lhotska, Lenka; Marceglia, Sara; Parimbelli, Enea; Sacchi, Lucia; Soda, Paolo; Stoicu-Tivadar, Lăcrămioara; Veltri, Pierangelo; Vizza, Patrizia
: Medical Informatics Europe Conference
Publisher: IOS Press
: 2026
Studies in Health Technology and Informatics
: Opening the Personal Gate between Technology and Health Care : Proceedings of MIE 2026
: 336
: 2364
: 2368
: 978-1-64368-661-5
: 0926-9630
: 1879-8365
DOI: https://doi.org/10.3233/SHTI260693
: https://doi.org/10.3233/shti260693
: https://research.utu.fi/converis/portal/detail/Publication/526584590
The purpose of this paper is to describe the role of co-creation in the analysis of family wellbeing data (n=22,359) concerning families with children. The target population consists of families with children from four Family Centre areas within a single wellbeing services county, based on a complete population sample. Co-creation introduced diverse expertise into the analytical process - encompassing both methodological competence and knowledge of family services - enabling the results to better support professionals working with families with children in the region.
advanced analytics, Families with Children, K-means clustering
:
We gratefully acknowledge the Ministry of Social Affairs and Health (STM) for supporting this research as part of Finland’s Sustainable Growth Programme, funded through the EU’s Next Generation EU recovery instrument. We also thank Findata for granting the data permit (THL/4632/14.02.00/2024) and enabling access to the data.
