Master Claims Assistance Tool (M-CAT)
Description
M-CAT is designed to automatically classify, extract, and validate critical information from diverse regulatory and/or policy references. This includes the automation of complex data extraction tasks, which are traditionally time-consuming and prone to human error. M-CAT provides quick access to regulatory and/or policy guidance and summarizes information within the prescribed Retrieval-Augmented Generation (RAG) model. These retrieval results are maintained for each user and aggregated to inform focused training support needs. The overall generated response includes contextual integration, interactive elements for source expansion, feedback mechanism, displays current trending topics as suggested queries, and provides prompted follow-up questions post query.
Detailed example
M-CAT provides quick access to regulatory and/or policy guidance and summarizes information within the prescribed RAG model. These retrieval results are maintained for each user and aggregated to inform focused training support needs. The overall generated response includes contextual integration, interactive elements for source expansion, feedback mechanism, displaying current trending topics as suggested queries, and providing prompted follow-up questions post query.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
M-CAT provides quick access to regulatory and/or policy guidance and summarizes information within the prescribed RAG model, guiding end-users to achieve a clearer understanding and clearer implementation of VA policy. Access to this information improves processing capabilities which immediately transition to more timely and accurate delivery of benefits.
Controls / human review
ATO: Not reported; PIA: Not published