Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution
EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract, summarize, and query medical records at enterprise scale and cut claims review time from over 100 minutes per case.
Insurance claims adjusters invest over 100 minutes per case in manual review of medical records. Exl's AI-powered Medical intelligent document processing (IDP) solution on AWS streamlines this process by merging IDP with domain-specific large language models (LLMs) to extract, summarize, and query medical data at scale. Medical records are complex and essential in insurance claims and underwriting, requiring adjusters and underwriters to evaluate hundreds of pages of unstructured, specialized clinical terminology, spanning various document types.
This manual process is slow, prone to inconsistencies, and demands deep medical knowledge. EXL's solution combines two AI applications into an end-to-end pipeline on AWS, automating document ingestion, classification, extraction, enrichment, and output delivery. Xtrakto.AI handles document processing without pre-configured templates, while EXL Insurance LLM provides medical summarization, natural language querying, and structured output generation.
Built on AWS, the solution ensures consistent security controls and scalable inference using Amazon SageMaker AI and Amazon Bedrock.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
