Intelligent Routing Control for Insurance Document Processing
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Solution Overview
Problem
Existing systems face challenges in processing and translating diverse physical documents into standardized forms due to varying sizes, orientations, layouts, and formats, leading to difficulties in logical deductions, incomplete information detection, and lack of contextual learning.
Innovation Solution
A processing agent system that employs end-to-end learning to detect contexts, route documents efficiently, and perform functions by parsing documents into individual pages, using machine learning to classify and validate content, and distribute tasks across multiple computing resources, enabling asynchronous processing and secure data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If documents are processed as complete units with predefined destinations, then routing is simplified, but processing flexibility and adaptability to individual page needs are reduced
Solution Approach 1:
The patent segments documents into individual pages for independent processing and routing. Each page can be routed to different destinations based on its own classification, rather than treating the entire document as a single unit. This enables page-level routing flexibility while maintaining operational simplicity through automated segmentation.
2Measurement precision
If machine learning algorithms process entire documents, then contextual understanding is improved, but processing time and computational resources increase
Solution Approach 1:
The system divides documents into pages and processes them individually through machine learning algorithms. This segmentation reduces the computational burden compared to processing entire documents, while still maintaining contextual understanding through page-level analysis and metadata generation.
Solution Approach 2:
The system performs preliminary processing by generating metadata and routing data for each page before final routing decisions are made. This preliminary classification enables faster subsequent processing and routing operations.
3Reliability
If all documents are routed through centralized processing, then control and security are improved, but bandwidth usage and processing bottlenecks increase
Solution Approach 1:
The patent implements distributed processing where individual pages or document segments can be routed to different destinations simultaneously. This segmentation reduces centralized bandwidth bottlenecks while maintaining security through embedded routing data and metadata that guide distributed processing.
Solution Approach 2:
The system adds the dimension of parallel processing by enabling simultaneous routing of multiple pages to different destinations. This transforms the processing architecture from sequential centralized routing to parallel distributed routing, reducing bandwidth consumption and eliminating bottlenecks.
Data Source
AI summary
A system and method classify insurance documents. The system and method access documents from an assessment queue stored in a memory where each of the documents have a predefined destination stored in metadata. The system and method remove the metadata associated with each document and covert the documents into single physical page documents by splitting each of the of documents into files, consisting essentially of a single physical page. The system and method convert each of the files into separate recognition vectors and classify the files through an additive learning algorithm in which routing data is embedded in second metadata associated with the files. The system and method merge the files, route the files to predefined destinations stored in the metadata, and process insurance documents automatically in response to the routing of the merged documents.