Automating Medical Record Digitization with Amazon Bedrock and AWS HealthLake

Details

Many healthcare organizations face the challenge of managing millions of disconnected paper medical records, leading to incomplete patient histories and care gaps. This solution addresses this technical hurdle using an event-driven, serverless architecture. The process begins when a PDF is uploaded to Amazon S3, triggering Amazon Bedrock Data Automation (BDA). BDA uses advanced AI capabilities to extract over 50 structured clinical fields—such as demographics, diagnoses with ICD-10 codes, and medications—from the scanned document. Subsequently, AWS Lambda functions are triggered to convert the extracted JSON data into FHIR R4 format. The final step is storing this validated data in AWS HealthLake, a HIPAA-eligible data store. This entire infrastructure is provisioned via CloudFormation, making the resulting data immediately queryable through standard FHIR APIs, eliminating the need for custom model development or manual system integration.