Tech »  Topic »  How Myriad Genetics achieved fast, accurate, and cost-efficient document processing using the AWS open-source Generative AI Intelligent Document Processing Accelerator

How Myriad Genetics achieved fast, accurate, and cost-efficient document processing using the AWS open-source Generative AI Intelligent Document Processing Accelerator


This post was written with Martyna Shallenberg and Brode Mccrady from Myriad Genetics.

Healthcare organizations face challenges in processing and managing high volumes of complex medical documentation while maintaining quality in patient care. These organizations need solutions to process documents effectively to meet growing demands. Myriad Genetics, a provider of genetic testing and precision medicine solutions serving healthcare providers and patients worldwide, addresses this challenge.

Myriad’s Revenue Engineering Department processes thousands of healthcare documents daily across Women’s Health, Oncology, and Mental Health divisions. The company classifies incoming documents into classes such as Test Request Forms, Lab Results, Clinical Notes, and Insurance to automate Prior Authorization workflows. The system routes these documents to appropriate external vendors for processing based on their identified document class. They manually perform Key Information Extraction (KIE) including insurance details, patient information, and test results to determine Medicare eligibility and support downstream processes.

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