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Rede Mater Dei de Saúde: Monitoring AI agents in the revenue cycle with Amazon Bedrock AgentCore

Machine Learning Blog



This article describes how Rede Mater Dei de Saúde, a major Brazilian healthcare network, deployed 12 AI agents using Amazon Bedrock AgentCore to address claim denials and revenue cycle inefficiencies.

  • Brazilian hospitals face 15.89% claim denial rates, costing sector ~R$10 billion annually
  • Rede Mater Dei implemented suite of 12 AI agents covering entire revenue cycle
  • Key agents: Contracts, Parameterization, and Authorization agents automate critical processes
  • Three-layer architecture: Data Execution, Agent Execution, and Trust/Compliance layers
  • AgentCore Evaluations added monitoring and continuous improvement capabilities
  • Achieved 517% ROI in first four months, 66% authorization time reduction
  • 33% reduction in surgery start times through improved operational efficiency
  • Built immutable audit trails for regulatory compliance and traceability
  • Real-time KPI visibility enables faster executive decision-making

The project demonstrates how AI agents with proper governance and observability can transform healthcare revenue cycles, delivering measurable financial and operational gains while maintaining compliance and auditability.



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