Intelligent Document Processing for Automated Workflow Triage

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Solution Overview

Problem

Existing systems struggle with the efficient processing of unstructured content, leading to time-consuming and error-prone manual intervention in integrating such content into upstream or downstream workflows, particularly in industries like healthcare, finance, and law enforcement.

Innovation Solution

An Intelligent Document Processing (IDP) system that automates the capture, classification, extraction, and summarization of unstructured content using machine learning and natural language processing, minimizing manual intervention by integrating with upstream or downstream processes through APIs, logical connectors, and providing exception handling for errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual processing methods are used for unstructured content, then flexibility in handling various content types is maintained, but processing time and human error increase significantly

Engineering Contradiction:

Improveprocessing accuracyVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables unstructured content to be processed automatically through self-service mechanisms. The processor autonomously captures content from various sources, extracts relevant information, classifies it into structured formats, and integrates it into workflows without requiring manual human intervention for each content item, thereby reducing both processing time and human error

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical processing (human operators physically handling and categorizing content) with an automated computational system. The processor uses algorithms and machine learning models to perform capture, extraction, classification, and integration tasks that were previously performed manually, significantly improving efficiency and accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated processing is implemented for unstructured content, then processing speed and efficiency increase, but system complexity and difficulty of integration increase

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The processor is designed as a universal system capable of handling multiple types of unstructured content (documents, images, audio, video) from various sources (email, fax, web portals, mobile devices). It performs multiple functions including capture, extraction, classification, and integration within a single platform, reducing the need for separate specialized systems and thereby managing complexity while maintaining high productivity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary processor layer between content sources and downstream workflows. This mediator handles the complexity of parsing, understanding, and transforming unstructured content into structured formats that various workflows can consume, shielding end systems from the complexity of content processing while enabling efficient automated handling

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If content is re-digitized through scanning, then physical documents can be converted to digital format, but contextual metadata is lost and processing format becomes less desirable

Engineering Contradiction:

Improvedigital conversion capabilityVSAvoidmetadata loss

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system extracts not only the visible content from unstructured sources but also implicitly extracts and preserves contextual metadata during the processing pipeline. By using advanced parsing and analysis techniques, the processor identifies and retains metadata such as document type, source information, temporal context, and other attributes that would otherwise be lost in traditional scanning processes

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary analysis and structuring of content during the capture and extraction phases, before the content is fully processed. By pre-identifying and preserving metadata and contextual information early in the pipeline, the system ensures that this information is retained throughout subsequent processing steps and integrated into the final structured output, preventing metadata loss

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250284671A1Method and apparatus for the intelligent capture and preprocessing of unstructured content for upstream or downstream workflow integration

Publication Date: 2025.09.11 WEAVE CLOUD SOLUTIONS LLC

AI summary

This technology relates to field of Intelligent Document Processing (IDP) and more particularly to the methods, apparatus, and systems that enables the capture and handling of unstructured content; enabling the pre-processing of such captured content to extract, classify, convert, and/or summarize the captured content; providing at least one of the extracted content, the original captured content, and/or any generated ancillary information about the captured content (metadata); potentially allowing the efficient triage of such content, extracted content, and/or metadata by automated or manual processes; and determining whether to forward at least one of such captured content, extracted information, and/or metadata to upstream or downstream workflow processes or request corrections or additions to such content from the source of the provided content.