"Computational Modeling of the Production Capacity and Financing of the SUS Healthcare Network: An Analysis Based on Information Systems and Artificial Intelligence"
Computational Intelligence, Healthcare Production, Public Health Financing, Transparency, Secret Budget.
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 the production of services and the financing mechanisms. The analysis includes outpatient and hospital production, as well as fund-to-fund 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 perceived resources, suggesting the need to improve the control mechanisms and interoperability of the SUS information systems. The proposed recommendations include improvements in the technical aspects of the healthcare systems, aiming to increase the effectiveness of management and the transparency of processes.