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. 2024 Aug 22:316:1463-1464.
doi: 10.3233/SHTI240689.

From Clinical Information Systems to Personalized Health Knowledge Graphs

Sareh Aghaei  1 , Remzi Celebi  2 , Markus Kreuzthaler  1 , Stefan Schulz  1
Affiliations

From Clinical Information Systems to Personalized Health Knowledge Graphs

Sareh Aghaei et al. Stud Health Technol Inform. .

Abstract

This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.

Keywords: EHR; Interoperability; RDF Knowledge Graphs; SNOMED CT.

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