Abstract
Applying Ontologies for Semantic Information Integration on Electronic Medical Records (EMRs)
Highlights
The Semantic Web is a novel system of web considered for permitting human and informatics tools to development and shares the same sources of information
One of the most coherently structured ontologies in biomedical and in telemedicine is the Fundamental Model of Anatomy (FMA), it is an ontology of domain of the classes and the relationships that belong to the structural organization of the body[2]
The Ontology Implementation In this phase of ontology development is applied Top Down method starting with the definition of global concepts to reach the minimum level of specificity; for example, the super classes defined are associated in medical record as “Antecedentes, Datos Personales y examen físico”, the classes associated to "Antecedentes" are subordinate in the “familiar” type, and antecedents in the “personal” type
Summary
The Semantic Web is a novel system of web considered for permitting human and informatics tools to development and shares the same sources of information. Description Logic defines a family of knowledge representation languages which can be used to represent, in a well-understood formal way, the knowledge of an application domain. Within the Semantic Web there are tools or applications that solve specific problems, they apply common techniques, the developments are fragmented, generating a problem of disarticulation of these topics under the same thematic axis; causing a low production of key documentation of the essential paradigms of the Semantic Web in relation to information retrieval, integration of information and indexing of information as fundamental tools in the management of information and knowledge. SNOMED-CT terminology covers diseases, clinical findings and procedures, and helps with indexing, storing, retrieving and aggregating clinical data consistently. This allows computer-structure and manages medical records, reducing the variability in the way in which you can acquire, use and code the data necessary for the clinical care of patients. Hierarchies: Composed of top-level categories and their respective subcategories
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