EXL has released an AI-powered Medical Intelligent Document Processing (IDP) solution, hosted on AWS, designed to automate the review of medical claims. This solution integrates IDP capabilities with domain-specific large language models (LLMs) to process medical information at an enterprise scale. The goal is to extract, summarize, and allow querying of medical data, thereby reducing the time insurance claims adjusters spend on manual reviews.
Medical records are central to insurance claims adjudication and life underwriting, often spanning hundreds of pages and containing complex, unstructured data with specialized clinical terminology. Reviewers must connect disparate data points across various document types, including diagnostic tests, physician consultations, and lab results. This complexity makes the manual review process slow, prone to inconsistencies, and demanding of deep medical domain expertise.
The EXL solution combines two AI applications into a single end-to-end pipeline. One component, Xtrakto.AI, handles document ingestion, splitting, classification, extraction, enrichment, and postprocessing. This template-agnostic IDP application utilizes computer vision and natural language processing to manage the initial stages of document handling.
The current manual review process leads to delayed claim settlements, accuracy issues, increased indemnity costs, and negative customer experiences. By automating this process, EXL's solution aims to mitigate these challenges, offering a more consistent and efficient approach to medical record analysis in the insurance sector.
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EXL introduced an AI-powered Medical Intelligent Document Processing (IDP) solution built on AWS to automate medical claims review. This solution combines IDP with domain-specific large language models to extract, summarize, and query medical information, aiming to reduce the over 100 minutes adjusters spend per case manually reviewing records.