Automate medical record digitization with Amazon Bedrock Data Automation and AWS HealthLake

This article demonstrates automating medical record digitization by converting scanned PDFs into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake.

• Amazon Bedrock Data Automation extracts 50+ clinical fields from PDFs without template configuration
• Event-driven serverless pipeline: PDF upload → S3 → Lambda → BDA → HealthLake FHIR datastore
• AWS Lambda orchestrates two focused functions: BDA trigger and FHIR processor
• Amazon S3 event notifications decouple pipeline stages for independent scaling
• AWS HealthLake validates, indexes, and exposes FHIR R4 data via standard APIs
• Full deployment via CloudFormation in 15-20 minutes with least-privilege IAM roles
• Estimated cost: $50-100/month for 100 records; $2,000-3,000/month for 10,000 records
• Sample includes Python scripts for tracking jobs, viewing results, and querying FHIR data
• Production PHI workloads require AWS BAA, VPC isolation, comprehensive logging, and compliance monitoring

This solution automates healthcare record digitization at scale without custom ML models, making historical patient data accessible to modern clinical systems while maintaining security controls.