ABSTRACT
This paper described the implementation of a terminology server performed at a health institution in Uruguay, whose architecture is based on SNOMED CT using graph databases (NoSQL). The aim of this development was to create an intuitive terminological service, making the most of SNOMED CT's ontology, and which can be used from a clinical, statistical, management, decision support and research point of view, among others, with good performance.
Subject(s)
Databases, Factual , Systematized Nomenclature of Medicine , Computers , Semantics , UruguayABSTRACT
Proper management of information is not only essential but also critical in any organization's decision making process. Data integration and spacial visualization are the key features of georeferencial systems, which bring support to decision making in epidemiology as well as sanitary planning.This paper shows the development of a georeferential system that interacts with the data provided by the Health Care System.Thereby allowing creation of viable methods which will help to improve patient care, treatments, and interventions through building space-time relationships.