SmartApSUS: Integrating Data, Forecasting, and Optimization to Strengthen PHC Management in Brazil

• Thiago Pinheiro Federal University of Pernambuco (UFPE)
• Mágno Gomes Federal University of Agreste of Pernambuco
• Igor Vanderlei Federal University of Agreste of Pernambuco
• Dimas Nascimento Federal University of Agreste of Pernambuco https://orcid.org/0000-0002-3195-6481
• Thiago Fabrício Federal University of Agreste of Pernambuco
• Rodrigo Andrade Federal University of Agreste of Pernambuco
• Daliton da Silva Federal University of Agreste of Pernambuco

DOI: https://doi.org/10.5753/sbbd_estendido.2025.247659

Abstract

This paper presents SmartApSUS, an integrated analytics platform to improve strategic decision-making in Brazilian Primary Health Care (APS). By merging heterogeneous health data with advanced prediction and optimization techniques, SmartApSUS helps public administrators to efficiently allocate professionals and APS units, reduce operational costs, and expand population coverage. The platform comprises three core modules – demand forecasting, resource allocation optimization, and interactive data visualization – in a modular and interoperable architecture. Demonstrations with real-life scenarios confirm its practicality and effectiveness and underline the significant potential for improving public health management through data-driven decisions.

Keywords: Primary Health Care, Resource Optimization, Demand Forecasting, Data Visualization

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