Ontoregula-SUS: ontologia da regulação ambulatorial e de internação do Sistema Único de Saúde

Abstract

Due to the autonomy granted to Brazilian municipalities and states by the Federal Constitution of 1988, resources available for health, even though a national policy, have been applied in a variety of ways, implying distortions in the availability of health services. Concerned with this deficiency in the SUS, the Ministry of Health started to adopt a policy of accountability agreed upon through Pactual and Integrated Programming (PPI), implying the construction of referral and countertransference networks for the provision of specialized health services. From this new model, the regulatory complexes were conceived, which became responsible for the organization and management of users' access to these services. However, what is observed today is that there is still a great difficulty on the part of states and municipalities to organize and operationalize these complexes, mainly due to the lack of standardization to obtain and supply information resulting from this flow, which also implies losses Financial resources. These difficulties and needs are mainly due to the diversity of the information systems used and the lack of a standard for the exchange of information. In this aspect, semantic approaches with the use of ontologies have been widely proposed, including in the health area, for the representation, sharing and reuse of knowledge, enabling the semantic uniformity necessary to obtain interoperability mechanisms, besides providing subsidies for Construction and maintenance of information systems more adherent to the processes. Thus, as a way of solving the problems arising from the lack of semantic uniformity that corroborate the difficulty in the exchange of information, an ontology, called ONTOREGULA-SUS, is proposed as a support mechanism for solving these problems, as well as for the Evaluation, improvement and application of new technologies in the health area. In order to evaluate the ontology, query-based tests were performed through inference mechanisms and the SPARQL language, as well as a comparative analysis between the ontology and two widely used regulation systems, whose results allowed us to infer that the ontology is apt to be used or adapted to the solution of the problems discussed in this dissertation, that is, the lack of semantic uniformity and interoperability between SUS regulation systems.