Application and effectiveness of ontology on e-Health

Telecommunications(2014)

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Abstract
With the mutual understanding of the concepts and terms and the semantic relationship, Interaction and integration between health systems, decision support systems can be easily done. Ontology is one way of overcoming the problems of interoperability. Ontology is a formal explicit description of concepts in a special domain. In this article, to review the application and effectiveness of Ontologies in e-Health, and we provided a model for the design of disease ontology. By creating an ontology for the domain Diseases, Concepts and relationships in a variety of diseases and the semantic interoperability between them can be determined. By understanding the various aspects of the Ontology application in e-Health and overcoming their weaknesses and strengths, the impact of these tools can be used in the field. However, the use of valid models of Ontology Design Disease in order to manage data and representing knowledge, creating integrated systems and interaction and Knowledge-based decision support systems in the field of e-health is very important.
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Key words
decision support systems,diseases,electronic health records,knowledge based systems,ontologies (artificial intelligence),open systems,data management,decision support system,disease ontology application,e-health,electronic health record,health system,knowledge represention,knowledge-based decision support system,semantic interoperability,ontology,unified modeling language,information systems,semantic web,interoperability,ontologies
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