Maturity evaluation of European hospitals data warehouses in the context of the EUCAIM project
Author Block: P. Serrano1, C. Soler-Pons1, S. Flor1, J. Soto2, V. Sóñora3, F. J. Medina Álvarez4, A. Orduña Galán4, L. Marti-Bonmati4; 1Valencia, Spain/ES, 2Madrid/ES, 3La Coruña/ES, 4Valencia/ES
Purpose: To assess the maturity of European hospital Data Warehouses (DWHs) within the EUCAIM consortium, focusing on their ability to generate high-quality datasets for secondary use, aligned with the federation’s requirements for Real World Data Holders.
Methods or Background: A descriptive cross-sectional study was conducted using a structured self-assessment questionnaire distributed to participating hospitals. Respondents included data scientists, IT specialists, and data protection officers. The questionnaire explored technical characteristics, data domains, standards and vocabularies, accessibility, governance, privacy and legal frameworks, and hardware capacity. Responses were scored on a 0–3 scale to create comparable maturity profiles. Aggregated scores were analyzed visually and statistically, and hospitals were grouped using k-means clustering and expert review.
Results or Findings: The survey revealed a diverse DWH maturity landscape. Most hospitals reported having a DWH with varied capabilities, including ETL processes, backup policies and imaging data integration. Use of common data models and standardized vocabularies was widespread but uneven. Governance and de-identification procedures were present in several institutions, while others lacked formal documentation. Three clusters emerged: entry-level, intermediate and/or transitioning, and advanced hospitals.
Conclusion: DWH maturity varies across European hospitals due to institutional and national challenges. EUCAIM can guide improvement by providing feedback, fostering collaboration, and connecting less mature institutions with advanced ones, enhancing their ability to generate on-demand datasets for research and supporting observational studies in the European Health Data Space.
Limitations: Results are based on 24 hospitals; analyses will evolve as more join. Hospitals face financial, technical, and legal challenges, including limited funding, lack of skilled staff, resistance to change, complex data integration, and regulatory uncertainty around data protection and anonymization. Investment in education, governance, and pilot projects show promising progress, highlighting the need for coordinated strategies.
Funding for this study: Funding was provided by EUCAIM, a project co-funded by the European Union under Grant Agreement 101100633.
Has your study been approved by an ethics committee? Not applicable
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