In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. We also discussed how to extract various types of documents in an insurance claims package, such as forms, tables, or specialized documents such as invoices, receipts, or ID documents. We looked into the challenges in legacy document processes, which is time-consuming, error-prone, expensive, and difficult to process at scale, and how you can use AWS AI services to help implement your IDP pipeline.
In this post, we walk you through advanced IDP features for document extraction, querying, and enrichment. We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how

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