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The objective is to verify how Brazilian healthcare operators can apply analytical techniques to their data assets to extract which procedures should be audited and to improve their operational decision making. Predictive analytics strengthens the use of BI systems by providing quality inputs to support the operational decision-making process by providing the right information at the right time, in the right place, and in the right ways. Prediction simulation using software R and historical operator base proved that prediction assists in operational decision making, including by classifying business rules.