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This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. The data capture stage is where documents are extracted from emails, compiled, and securely stored as input documents.
The variety of documents in this patient package demonstrates how a modern intelligent document processing solution must be flexible enough to handle different levels of document structure while maintaining consistency and accuracy in dataextraction. The following diagram illustrates the solution workflow.
With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extractingdata from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases.
We provide concrete guidance on addressing this issue with AWS AI and ML services to detect document tampering, identify and categorize patterns for fraudulent scenarios, and integrate with business-defined rules while minimizing human expertise for fraud detection. In the following sections, we discuss the stages of the process in detail.
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