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Journey of a Data Element to Data Interoperability and Reuse
Isabelle de Zegher1, Remzi Celebi2
1b!loba, Jagerslaan 23, 3080 Tervuren, Belgium.
Studies in Health Technology and Informatics
|May 17, 2025
Summary
This study introduces a virtual assistant prototype to create reusable personal health knowledge graphs. It addresses health data interoperability challenges by automating data curation for AI solutions.
Area of Science:
- Health Informatics
- Artificial Intelligence
- Data Science
Background:
- Health data interoperability has been a persistent challenge for over 25 years.
- The increasing demand for data-driven AI solutions highlights the urgent need for accessible and reusable health data.
Purpose of the Study:
- To present a prototype virtual assistant designed to create an interoperable and reusable personal health knowledge graph.
- To maximize automation in curating multimodal, heterogeneous health data, ensuring compliance with semantic standards.
Main Methods:
- Development and testing of a virtual assistant prototype within the AIDAVA Horizon Europe project.
- Description of data transformation steps from collection to a reusable format, identifying associated challenges.
- Focus on automating the curation of multimodal and heterogeneous health data.
Main Results:
- A prototype virtual assistant capable of generating a semantic-standard-compliant personal health knowledge graph.
- Identification of key issues and transformation steps in making health data interoperable and reusable.
- Demonstration of automated curation for multimodal heterogeneous health data.
Conclusions:
- The proposed virtual assistant offers a pathway to resolve long-standing health data interoperability issues.
- Addressing data transformation and curation challenges structurally is crucial for achieving interoperable health data.
- A validated roadmap is essential for overcoming health data interoperability barriers.
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