Exploring Computational Techniques to Enhance Primary Health Care: Opportunities, Synergies, and Potential Impacts

• Dimas Cassimiro Nascimento UFAPE
• Igor Medeiros Vanderlei UFAPE
• Daliton da Silva UFAPE

DOI: https://doi.org/10.5753/ercas.2024.238693

Abstract

The population’s universal access to basic health care services is one of the most relevant pillars of Brazil’s Unified Health System (SUS). By analyzing and processing datasets produced by the software systems used in the SUS, we can explore a series of computational techniques aiming to improve the quality of primary care. In this work, we aim to present and discuss the potential of a series of computational techniques, such as optimization, heuristics, time series forecasting, automatic clustering and machine learning, to improve the provision of primary healthcare services.

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