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Stud Health Technol Inform. 2018;247:541-545.

Combining the Generic Entity-Attribute-Value Model and Terminological Models into a Common Ontology to Enable Data Integration and Decision Support.

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AP-HP, DRCI, Paris, France.
Sorbonne Université, Université Paris 13, Sorbonne Paris Cité, INSERM, LIMICS, UMR_S 1142, Paris, France.


The integration of clinical information models and termino-ontological models into a unique ontological framework is highly desirable for it facilitates data integration and management using the same formal mechanisms for both data concepts and information model components. This is particularly true for knowledge-based decision support tools that aim to take advantage of all facets of semantic web technologies in merging ontological reasoning, concept classification, and rule-based inferences. We present an ontology template that combines generic data model components with (parts of) existing termino-ontological resources. The approach is developed for the guideline-based decision support module on breast cancer management within the DESIREE European project. The approach is based on the entity attribute value model and could be extended to other domains.


Breast Cancer; Clinical Data Model; Decision Support Systems; Ontology; Semantic Interoperability

[Indexed for MEDLINE]

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