Abstract
Ontologies can formally describe the semantics of the medical domain in an unambiguous and machine processable form, acting as a conceptual interface between different applications that must interoperate.In this paper we present an ontology of cancer therapies originally developed to bridge the gap between an oncologic Electronic Patient Record (EPR) and a guideline-based decision support system. We show an application of the ontology complemented by rules to classify therapies recorded in the EPR. The results show how such an ontology can be used also to discover possible problems of data consistency in the EPR.
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