Dicionários semânticos de dados para integrar dados de prontuários eletrônicos de pacientes

Abstract

In the health area, it is necessary to represent, integrate, and organize the knowledge derived from clinical data found in Electronic Medical Records (EMRs), providing advantages for developing scientific studies. Ontologies have been used in this context, can facilitate the extraction of information, disambiguate terms, and preserve the semantics of patient health variables. The usage of ontologies in the annotation of data in EMRs is a question discussed in related works. This article presents how to annotate data from EMRs, using data from the mental health field. Also, this work uses semantics data technique to generate knowledge graphs from ontologies and metadata models. Graphs can be explored later to filter base data to verify hypotheses in different scientific studies in the field of mental health.