Modelagem computacional da capacidade produtiva e do financiamento da rede assistencial do sus: uma abordagem com foco em inteligência computacional e orçamento secreto

Abstract

This dissertation presents an analysis of the healthcare production of the Unified Health System (SUS) in Brazil, using technical approaches from Computer Engineering to model the relationship between service production and funding mechanisms. Outpatient and hospital production are analyzed, as well as intergovernmental financial transfers, available infrastructure, and human resources. The methodology applied is based on information systems and computational intelligence techniques to integrate and analyze the different databases of the Ministry of Health, such as SIGTAP, CNES, and FNS, ensuring the traceability and auditability of the data. In addition, algorithms were used to detect anomalies in the production presented and in the approval of resources, highlighting possible inconsistencies and fraud in the use of public resources. The results reveal significant discrepancies between the declared healthcare production and the resources perceived, suggesting the need to improve control mechanisms and the interoperability of SUS information systems. The recommendations proposed include improvements in the technical aspects of health systems, aiming to increase management effectiveness and transparency of processes.