Data driven ecosystems for health and prevention: a shared decision-making model for local data governance

To transition towards a healthcare system oriented towards prevention, there is a need for a harmonized data driven population health approach shared by local healthcare actors. To install this based on citizen-generated data, citizens need trust through a local data governance. The trade-off or interaction between local governance of these data and cashing in on health gains based on that data should thus be investigated for all stakeholders in the quadruple helix (citizens, healthcare providers, governments, and companies). The central objective of this PhD project is to develop a shared decision-making model for local data governance that creates value for and includes the perspectives and interests of all stakeholders of the quadruple helix in disease prevention and health promotion.