Amazon Textract
4 use cases using this technology
CDPHP modernizes infrastructure and improves medical data extraction with AWS AI/ML
CDPHP (Capital District Physicians' Health Plan Inc.)
CDPHP, a not-for-profit health plan serving 400,000 members in Upstate New York, used AWS services including Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker to automate its data processing pipeline for unstructured medical records and health data. The organization processed over seven million records during initial migration and now processes 3,000 electronic health records weekly. CDPHP achieved a 60% improvement in overall efficiency and reduced HEDIS report generation from 4-5 days (three data scientists) to two reports produced daily.
Contra Costa County District Attorney's Office Makes Unbiased Charging Decisions with ScaleCapacity Generative AI Solution on AWS
Contra Costa County District Attorney's Office
The Contra Costa County District Attorney's Office worked with AWS Partner ScaleCapacity to build a Race-Blind Charging solution to comply with California's AB 2778 mandate. The solution uses Amazon Bedrock and Amazon Textract to automatically redact race, ethnicity and other identifying details from police reports and case documents before charging decisions are made, with Amazon S3, DynamoDB, Cognito and SES supporting document storage, metadata and user access. The office processes around 17,000 cases annually, achieved compliance in six months, and can test and deploy new redaction rule changes in under a week.
Reveleer processes 45 million pages of medical records quarterly with AI on AWS
Reveleer
Healthcare data and analytics company Reveleer uses Amazon Textract and Amazon Comprehend Medical to scan medical chart data and identify diagnostic conditions with high accuracy for value-based care programs, highlighting findings for medical coders so they don't have to manually review thousands of pages per patient. The Reveleer platform maintains 100% uptime with 90% of responses served in under 8 seconds, and processed over 45 million pages of medical chart data in the first quarter of 2024. Reveleer plans to add Amazon Bedrock foundation models to its platform.
Myriad Genetics speeds document processing with AWS GenAI Intelligent Document Processing Accelerator
Myriad Genetics
Myriad Genetics partnered with the AWS Generative AI Innovation Center to replace an Amazon Textract/Comprehend pipeline with Amazon Bedrock foundation models (Nova Pro for classification, Nova Premier for extraction) using the open-source GenAI IDP Accelerator. Document classification accuracy rose from 94% to 98%, classification cost per page fell 77% (3.1 cents to 0.7 cents), and classification time fell 80% (8.5 minutes to 1.5 minutes per document). Automated key information extraction reached 90% accuracy matching the manual baseline, with a projected $132K in annual savings and 300 hours saved monthly across 9,000 prior authorizations in the Women's Health unit alone.