EU-funded R&D project

Automate Curation and Publishing of Personal Health Data through Artifical Intelligence

All available personal health data of an individual in one consistent semantic model: through its sophisticated research project, the interdisciplinary AIDAVA consortium of 12 European partners and two associated partners will develop a digital solution, orchestrating diverse artificial intelligence technologies, for more efficient curation and publishing of personal health data, delivering interoperable and reusable personal health records for the benefit of patients and clinical researchers.

The i~HD team leads on the ethical, legal and regulatory compliance supporting iBeChange in its mission to promote healthier outcomes in the area of cancer care and prevention. i~HD is also responsible for developing the information governance frameworks, ensuring GDPR compliance, and data quality planning. i~HD is also developing an approach to incorporate the assessment of AI components as part of the wider governance tapestry in line with the forthcoming AI Act.

Supported by