AIDAVA
AI-powered Data Curation & Publishing Virtual Assistant. EU Horizon Europe research project automating curation and publishing of personal health data using AI.
AIDAVA prototypes and tests an AI-powered virtual assistant that maximizes automation of data curation and publishing of unstructured and structured, heterogeneous health data. The assistant includes a backend library of AI-based data curation tools and a frontend based on human-AI interaction modules.[1]
Key Facts[edit]
| Detail | Value |
|---|---|
| Grant ID | 101057062 |
| Funding Call | HORIZON-HLTH-2021-TOOL-06-03 |
| Total Cost | EUR 7,720,615 |
| Start Date | September 1, 2022 |
| End Date | August 31, 2026 |
| Duration | 48 months |
| Partners | 13-14 from 9 countries |
| Coordinator | Maastricht University, Remzi Celebi — remzi.celebi@maastrichtuniversity.nl |
| Website | aidava.eu |
| Documents | AIDAVA Documents — all PDFs with summaries |
| Contacts | AIDAVA Contacts — partner people and emails |
"Curate once, reuse many times" — supporting patients, clinical care providers and clinical researchers from the same curated data.[2]
The project addresses the core problem that integrated, high-quality personal health data represents a potential wealth of knowledge for healthcare systems, but there is no reliable conduit for this data to become interoperable, AI-ready and reuse-ready at scale.[3]
Technology Pillars[edit]
- Automation of quality enhancement and FAIRification of collected health data, in compliance with EU data privacy
- Knowledge graphs with ontology-based standards as universal representation — each Personal Health Knowledge Graph (PHKG) is an instance of a common reference knowledge graph based on ontologies derived from SNOMED, HL7 FHIR resource profiles, LOINC, and other domain-specific terminologies[4]
- Deep learning for information extraction from narrative content — NLP developed in three languages
- AI-generated explanations during the process to increase users' confidence (explainability)[5]
Use Cases[edit]
- Breast cancer patient registries — structured registry data curation across 3 university hospitals
- Longitudinal health records for cardiovascular patients — integrating heterogeneous data sources over time
Both tested in three languages (Dutch, German, Estonian) with hospitals and emerging personal data intermediaries.[6]
Evaluation Results[edit]
- 83 patients recruited; 70 completed evaluation (G1, July–December 2024)
- Tested in Estonia, Austria, Netherlands
- 45% of documents curated automatically
- Average 20 minutes per document (too slow)
- Usability acceptable, but explanations suboptimal and benefits unclear to patients
- G2 delivery: end 2025, testing early 2026
- Project end: August 2026
- Verdict: "true potential for automation in data curation into a harmonised semantic standard, under the form of a Personal Health Knowledge Graph" (D1.7)
Full document summaries: AIDAVA Documents
Exploitation & Business Model[edit]
The consortium has identified exploitation plans through WP6 Innovation Management. The Sustainability Advisory Board suggested two Go To Market approaches:
- Interoperability enablement of healthcare authorities as part of EHDS implementation
- Citizens empowerment in managing their health data
For full analysis — KERs, business requirements (596 total), G1 evaluation details, patient requirements, and commercialization implications — see AIDAVA Exploitation & Business Model.
Partners[edit]
| Organization | Country | Role |
|---|---|---|
| Maastricht University | Netherlands | Coordinator |
| KU Leuven | Belgium | Research partner |
| i-HD | Belgium | Health data standards and quality |
| Egnosis | Romania | Health data intermediary |
| Ontotext (Sirma AI EAD) | Bulgaria | Knowledge graph technology |
| Averbis | Germany | NLP and text mining |
| Medical University of Graz | Austria | Clinical partner |
| North Estonia Regional Hospital | Estonia | Clinical partner (use case) |
| European Cancer Patient Coalition | Belgium | Patient advocacy (until May 2024) |
| European Heart Network | Belgium | Patient advocacy (cardiovascular) |
| B!LOBA | Belgium | Data management |
| DFP Research / Data for Patients | Spain | Research partner (since Oct 2024) |
| EURICE | Germany | Project management |
| MIDATA Cooperative | Switzerland | Data cooperative |
| RISE Research & Innovation Services | Croatia | Innovation services |
All contacts: AIDAVA Contacts
See Also[edit]
- AIDAVA Exploitation & Business Model — Go To Market approaches, KERs, business requirements
- AIDAVA Competitive Analysis — verified competitor capabilities
- AIDAVA Related Companies — companies in the same problem space
- AIDAVA Documents — all PDFs with summaries
- Ontologies for Longitudinal Health Records — technical deep dive
- Stamen Health — commercial application of AIDAVA research
- Companies — full company database
External Links[edit]
- ↑ European Commission CORDIS, Grant 101057062: "AI powered Data Curation & Publishing Virtual Assistant" — https://cordis.europa.eu/project/id/101057062
- ↑ AIDAVA official website — https://aidava.eu
- ↑ European Commission CORDIS, Grant 101057062, project summary — https://cordis.europa.eu/project/id/101057062
- ↑ AIDAVA, "Vision and Key Facts" — https://aidava.eu/about/vision-and-key-facts
- ↑ AIDAVA, "Solution" — https://aidava.eu/about/solution
- ↑ European Commission CORDIS, Grant 101057062 — https://cordis.europa.eu/project/id/101057062