Semantic Querying of Hospital Data Using an Ontology-Based Model of Discharge Summaries and ICD 10

This paper focusses on the question of knowledge-based modeling of discharge summaries for semantic requesting in the context of hospital reporting process. An ontology was designed and implemented to capture patient data and required expert knowledge. The modeling process was carried out manually using Protégé after an initial reverse engineering of the official format of discharge summaries. An OWL 2 model was built integrating discharge summaries ontology and ICD 10 hierarchy. The framework is operationalized using the OpenLink Virtuoso database system (RDF store), enabling SPARQL queries and basic reasoning features. The evaluation was performed by implementing a use case based on patient comorbidities.