Monitoring and Care Impact of Participants Predicted to Have High Variability in Healthcare Expenditures: An Artificial Intelligence Application in the Brazilian Supplementary Health System
DOI:
https://doi.org/10.66305/jbas.v6i1.17Keywords:
Artificial intelligence, Predict modelsAbstract
This study aims to identify participants with a high probability of significantly impacting future healthcare expenditure variability and to generate information to support the continuous monitoring of the predicted population.
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Published
2026-02-06
How to Cite
Sousa Lima, F. N., Wilson Gomes de Barros, C., Cipriano Neto, A., Matter dos Santos, B., Akira Shiguti, W., & Vieira da Silva Rosa, W. (2026). Monitoring and Care Impact of Participants Predicted to Have High Variability in Healthcare Expenditures: An Artificial Intelligence Application in the Brazilian Supplementary Health System. Brazilian Journal of Health Auditing, 6(1), e2606004. https://doi.org/10.66305/jbas.v6i1.17
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Copyright (c) 2026 Frank Ney Sousa Lima, Carlos Wilson Gomes de Barros, Antônio Cipriano Neto, Bruna Matter dos Santos, Wanderley Akira Shiguti, Weverton Vieira da Silva Rosa

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