Build an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake

This article demonstrates how to build an automated healthcare claims processing pipeline using Amazon Bedrock Data Automation and AgentCore integrated with AWS HealthLake.

• Amazon Bedrock Data Automation extracts structured data from CMS-1500 claim forms using OCR and generative AI
• AgentCore hosts an AI agent that validates extracted data against patient and provider records in HealthLake
• Agent creates standardized FHIR claim resources and generates technical summaries and patient-friendly notifications via SNS
• AWS Lambda orchestrates the workflow and acts as deterministic supervisor over the agentic pipeline
• Solution handles data discrepancies intelligently, such as distinguishing between letter 'o' and number '0'
• Design-time AI logic is preferred over runtime inference for reliability and cost efficiency

This pattern reduces manual claims processing while maintaining accuracy through automated validation and AI-assisted error detection.