Automate medical record digitization with Amazon Bedrock Data Automation and AWS HealthLake
Engineers at AWS have designed a serverless pipeline to automate medical record digitization using Amazon Bedrock Data Automation and AWS HealthLake. The pipeline extracts over 50 structured clinical fields from scanned PDFs, converting them into FHIR R4-compliant data without requiring custom machine learning models or manual template configuration. The pipeline is built using AWS services such as Lambda, S3, and CloudFormation, and is provisioned in under 20 minutes using a single AWS CloudFormation stack. The pipeline consists of three phases, starting with infrastructure deployment, followed by event-driven data processing, and finally query and analytics. The pipeline uses IAM roles with least-privilege permissions to secure service-to-service communications, and AWS services such as S3 event notifications and CloudWatch to monitor and log pipeline activity. The solution is designed to be highly scalable and repeatable, and is accessible through standard FHIR R4 API endpoints.