The AIDAVA project has successfully concluded.

After four years, the AIDAVA consortium has completed its work on the AI powered Data Curation and Publishing Virtual Assistant, tested across four clinical sites. Learn more by visiting our results, publications and deliverables sections.

Stay tuned for more results to come. We will continue to update the publications section. Public deliverables remain available on Zenodo, and you can still reach us through the enquiry form to request a demo or a specific deliverable.
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Automate Curation and Publishing of
Personal Health Data Through Artificial Intelligence

Major Milestone Achieved: First Patient IN for the evaluation of the AIDAVA prototype

The AIDAVA project is developing a digital solution addressing two challenges around personal health data:

  1. Maximizing automation in the curation and publishing of heterogeneous data.
  2. Empowering individuals—patients or their representatives (e.g., family members, social workers)—and data stewards/curators to curate and publish personal data when automation is not possible due to lack of information.

This month, our project reached a significant milestone with the commencement of the evaluation of Generation 1 prototypes in Estonia, following a structured protocol approved by local ethical committees. On July 15, 2024, Partner NEMC enrolled the first breast cancer patient, quickly followed up by 5 other patients across the 2 two use cases.

The prototype is being tested around two primary use cases:

  1. Hospital-Centric Use Case with Breast Cancer patients. This will demonstrate the feasibility of a federated "EU" breast cancer registry composed of interoperable extracts from multiple sources within the three evaluation sites.
  2. Patient-Centric Use Case with Cardiac patients. This use case will show how patient data curated into an individual longitudinal health record can be reused for visualizing the patient record and computing a cardiac risk score, aiding physicians in monitoring patient risk.

In addition, the prototype is automatically generating the International Patient Summary in EEHRxF format for visualization by the patients.

Stay tuned for further updates.