Journey of a Data Element to Data Interoperability and Reuse

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.

Keywords: AI curation tools; data interoperability; ontology; personal health knowledge graph.