Year: 2025
Type: book-chapter
Abstract: Poor health data interoperability has been an issue for more than 25 years. With the emergence of data-hungry AI solutions, the need for interoperable and reusable health data is growing. This paper presents a prototype virtual assistant, developed and tested as part of the AIDAVA Horizon Europe project, that creates an interoperable and reusable personal health knowledge graph, compliant with a semantic standard, by maximising automation in the curation of multimodal heterogeneous health data. The paper describes the different transformation steps of a data element from collection to its reusable form, with associated issues. We conclude that the lack of health data interoperability could be resolved by addressing these issues in a structural way through a validated roadmap.
DOI: 10.3233/shti250517
Authors: Isabelle de Zegher, Remzi Celebi
Institution: Maastricht University
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4410447482