Automated Quality Record Review for Real-Time Compliance Detection

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Solution Overview

Problem

Current quality record review processes in regulated industries are manual, time-consuming, and prone to human error, leading to missed compliance issues and increased costs due to the limited ability to comprehensively analyze large volumes of records in real-time.

Innovation Solution

A computer-implemented method using Large Language Models (LLMs) with proprietary rules and logic for automated quality record review, enabling real-time analysis, cross-referencing across timelines, and adherence to regulatory standards, while preventing false positives through iterative training and guardrails.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual quality record review is conducted by human auditors, then expertise and regulatory understanding are applied, but the review process is time-consuming and can only sample a small subset of records

Engineering Contradiction:

Improvequality review accuracyVSAvoidrecord review speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces the mechanical human auditing process with an automated computerized system using optical character recognition (OCR), natural language processing (NLP), and machine learning algorithms to review quality records. This substitution enables comprehensive analysis of all records rather than sampling, while maintaining regulatory understanding through trained AI models that encode compliance rules and requirements.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If comprehensive review of all quality records is performed, then complete detection of compliance issues is achieved, but the time and resources required increase significantly

Engineering Contradiction:

Improvecompliance detection completenessVSAvoidreview duration

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements continuous automated review of all quality records as they are generated or updated, rather than periodic manual sampling. The system operates continuously to detect, flag, and report compliance issues in real-time, ensuring complete coverage without significant time loss through the efficiency of automated processing.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system creates digital copies of quality records through OCR technology, enabling automated analysis without physically handling or delaying the original documents. This copying approach allows parallel processing of multiple records simultaneously, reducing overall review time while maintaining complete detection capability.

Inventive Principle:

Principle #26Copying

3Productivity

If automated computerized methods are used for quality record review, then processing speed and comprehensive analysis improve, but accuracy and false positive rates decrease

Engineering Contradiction:

Improverecord processing speedVSAvoidcompliance assessment accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent incorporates feedback mechanisms where the automated system's compliance assessments are continuously evaluated against known outcomes and expert reviews. The machine learning models are trained and refined using this feedback to reduce false positives and improve accuracy over time, while maintaining high processing speeds through automated operations.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system combines multiple analytical approaches including OCR for text extraction, NLP for semantic understanding, rule-based compliance checking, and machine learning classification. This composite methodology leverages the strengths of each component to achieve both high speed processing and accurate compliance assessment, reducing false positives through multi-layered verification.

Inventive Principle:

Principle #40Composite materials

4Adaptability or versatility

If human auditors manually review quality records, then contextual understanding and judgment are applied, but human variability and subjectivity introduce inconsistencies

Engineering Contradiction:

Improveregulatory interpretation flexibilityVSAvoidreview consistency

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent transforms the subjective human judgment process into objective parameter-based automated analysis. The system uses defined compliance parameters, regulatory rules, and standardized criteria to assess quality records consistently, eliminating human variability while maintaining adaptability through configurable rule sets that can be adjusted for different regulatory requirements.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250384382A1System and Method for Review of Quality Records for Regulatory and Quality Compliance

Publication Date: 2025.12.18 RECOMBO AI INC

AI summary

A computer-implemented method for automated review of quality records is disclosed as including the steps of operating a computer to access a plurality of electronic quality records; normalizing at least one electronic quality record of the plurality of electronic quality records to facilitate computer analysis thereof; sorting all electronic quality records into a predefined plurality of electronic quality record categories; operating the computer to automatically review at least some of the electronic quality records in at least some of the plurality of electronic quality record categories using a plurality of predefined sets of quality rules and logic, wherein each electronic quality record category is associated with a corresponding set of quality rules and logic; and classifying every reviewed electronic quality record as acceptable or not acceptable.