Jury

This study develops actionable design principles for assessing data quality (DQ) when converting National Cancer Registry data to the OMOP Common Data Model, a critical step for improving the utility of Electronic Health Records (EHRs) in cancer research. By applying Action Design Research, the study identifies core data quality issues and addresses them through iterative, stakeholder-informed interventions. These interventions enhance transparency, automation, and interoperability in DQ processes. The design principles derived from these interventions support safer, higher-quality EHR use, contributing to a healthier society with reliable data-driven insights, especially vital for the societal transition toward data-informed healthcare.

The demand for and complexity of youth care have increased, resulting in long waiting lists with serious consequences. Individual cases often exceed expertise of single care providers, making network collaboration essential but challenging. Municipal procurement decisions shape the youth care system, offering opportunities to enhance this collaboration. Through an archival study of procurement documents and a multiple casestudy with policymakers and care providers, this research identifies twelve policy incentives stimulating network collaboration within the system. Findings show that effective collaboration relies on well-designed procurement procedures and policy incentives across different levels, offering solutions to improve youth care in the Netherlands.

Jury on behalf of academia

Jury on behalf of practice