Distributed Electronic Health Records Semantic Interoperability Based on a Fuzzy Ontology Architecture

Abstract

Realthcare is one of the main domains where sharing information is an essential requirement. Medical information systems store all the clinical data in many different kinds of formats. Subsequently, there is an urgent requirement to address the semantic interoperability problem. This paper proposes a fuzzy-ontology framework that could integrate most existing EHR different data models. In the proposed framework, each input source is represented into an ontology representation. Those data sources may be relational databases, XML documents, Excel spreadsheets, CSV files, or EHRs standards. Second, all those output ontologies are merged and combined in only one ontology. DL-Query Protégé plug-in is used for providing specific queries. All the results are explained with the help of screenshots. We expect our framework to be a step towards solving the specific problem without losses of data and semantics.