Generation and Use of One Ontology for Intelligent Information Retrieval From Electronic Record Histories

Abstract

This paper analyzes the terminology used in the diagnosis, treatment, exploration, and operation descriptions entered by doctors in the electronic healthcare record. From this, expression stability (and the use of a sufficiently limited and controlled language) is shown, which is therefore reasonably valid for a conceptualization process to be employed on it. This conceptualization process is performed by the generation of an ontology which proposes semantic classes according to the different medical concepts to be used on database query profiles. By way of summary, we shall propose a semantic organizational method so that classes, attributes and properties in the ontology may act as links between the database and the users, both in information incorporation processes and in queries. It offers a wide range of benefits by extending and making information management possibilities more flexible, and enabling the application of traditional data mining techniques.