19-20 March 2025 || The EGG, Brussels, Belgium

Dipak Kalra
President, i~HD
19-20 March 2025 || The EGG, Brussels, Belgium
In an era where health data is pivotal to driving improvements in patient care, clinical research and healthcare policy, especially with the advent of AI and data spaces in the ecosystem, ensuring the quality of this data from its initial collection to its various uses is of paramount importance.
The Health Data Summit 2025 – “High-quality data to deliver tomorrow’s healthcare” was dedicated to advancing healthcare and fostering innovation through strategic data quality management: the first step towards improved care and better research through data.
More than 300 thought leaders, healthcare professionals, policymakers and technology providers were given a shared space to discuss and devise strategies for maintaining high-quality data – from collection to the use and reuse.
Participants learned actionable guidelines and materials applicable at every level: from technical and healthcare provider levels to management, divided into three comprehensive tracks that each address a critical aspect of health data quality: a fundamental building block towards the future of healthcare.
President, i~HD
Senior Data Scientist, Institute for Health Sciences Aragon (IACS)
Senior Data Scientist, Institute for Health Sciences Aragon (IACS)
Head of Division for Policy Information and Data, Care Department, Flemish Government
Head of Data Science, Ziekenhuis Oost-Limburg
Founder, b!loba
Scientific Researcher, Medical Informatics Department, Erasmus MC
Vice-President, Belgian Association of Hospital Managers
Academic AI Expert, Flanders AI Academy (VAIA)
Visiting Professor, Ghent University/Healthcare Advisor
Three Main Tracks
- The Porto Declaration on Health Data Quality: an Update
- EHDS, what will the data quality and utility label look like?
- Health Data Quality Maturity
Strengthening Hospitals for High-Quality Health Data Collection: Tools and Strategies for Excellence
Data Quality, the Key Requirement to Mitigate AI Bias
Advancing Health Data Quality Research: State of the Art
- Health Data Quality Strategy, Belgium's Vision
- How does Data Harmonisation Affect Data Quality?
Strategic Health Data Quality Management: Integrating Policy, Governance, and Resource Allocation
Harnessing Data Quality for Optimising Clinical Research, and Policy Making
Advancing Health Data Quality Research: State of the Art
- Health Data Quality, What is My Return as a Citizen?
- Health Data Quality, the Key component for Real-World Evidence
- Secondary Use of Data Starts in the Hospital
Advanced Strategies and Tools for Ensuring High-Quality Data during Data Mapping
Data Quality in the Era of Synthetic Data
Advancing Health Data Quality Research: State of the Art
- Health Data Quality and Trustworthy AI
- Future Innovations Driven by Health Data Quality
Multi-stakeholder perspectives on data quality from the secondary use perspective.
What is needed to have better data quality for all?
Sponsors
Partners