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How Clarus Care uses Amazon Bedrock to deliver conversational contact center interactions

Machine Learning Blog



This article describes how Clarus Care, a healthcare contact center provider, partnered with AWS to build an AI-powered conversational contact center using Amazon Bedrock, Connect, and Lex.

  • Replaces rigid IVR menus with natural language voice and chat interfaces
  • Handles multiple patient intents (scheduling, prescriptions, billing) in single interaction
  • Uses Claude 3.5 Sonnet and Amazon Nova models for different conversation tasks
  • Achieves sub-3-second latency and 99.99% availability requirements
  • Includes smart transfer to staff for urgent cases or patient requests
  • Features hierarchical intent management with provider-specific customization
  • Appointment scheduling uses state machine with preference extraction and confirmation
  • Includes analytics pipeline and web chat interface for multichannel support

The solution demonstrates how generative AI can transform healthcare patient communications from menu-driven systems to natural, efficient conversational experiences while maintaining scalability and reliability.



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