Objective Enterprise Protocol Validation Across Variable Data Sources

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Large enterprises face inconsistencies and subjective interpretations in implementing protocols due to disparate data sources and unconnected computing systems, leading to varied application of standards, potential non-compliance, and client dissatisfaction.

Innovation Solution

A system and method for analyzing enterprise protocols using a processor to access client resolution data from multiple databases, generate a stratified sample dataset, and apply outlier detection models to identify inconsistencies and abnormalities in resolutions, providing a graphical user interface for management review.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If subjective analysis and judgment are used to implement protocols, then flexibility in handling varied factors is improved, but consistency and reliability of protocol application deteriorates

Engineering Contradiction:

Improveflexibility in handling varied factorsVSAvoidconsistency of protocol application

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent replaces subjective human judgment with an automated objective validation system that uses computational algorithms to consistently evaluate protocol implementations. The system automatically compares actual implementations against expected protocol parameters, eliminating variability introduced by human subjectivity while maintaining the ability to handle complex data scenarios.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-validation where the protocol implementation is automatically assessed by the validation system without requiring manual review. The objective validation process self-determines compliance by automatically comparing implementation data against protocol expectations, reducing dependency on human interpretation while maintaining adaptability to different contexts.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If discretion is allowed at different points in the process, then adaptability to local conditions is improved, but variance in implementation quality worsens

Engineering Contradiction:

Improveadaptability to local conditionsVSAvoidimplementation quality consistency

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The validation system allows different validation criteria and expectations to be applied to different local contexts while maintaining overall protocol compliance. The system can accommodate local variations in implementation by evaluating each context against its specific expected parameters, ensuring both adaptability to local conditions and consistency in quality through standardized validation logic.

Inventive Principle:

Principle #3Local quality

3Quantity of substance

If data from multiple disparate sources are used, then comprehensiveness of analysis is improved, but difficulty in analyzing and comparing data worsens

Engineering Contradiction:

Improvecompleteness of data coverageVSAvoiddata integration and analysis complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The validation system is designed to universally handle multiple data types and sources through a unified validation framework. The system can process various data formats from different sources (e.g., structured data, unstructured text, numerical values) and compare them against protocol expectations using consistent validation logic, reducing the complexity of integrating and analyzing disparate data.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250328848A1Systems and methods for objective validation of enterprise protocols involving variable data sources

Publication Date: 2025.10.23 WELLS FARGO BANK NA

AI summary

The present disclosure describes devices and methods of providing a technology environment for analyzing programs or initiatives of an enterprise. In particular, a computing device including a processor with computer readable instructions to access client resolution data that includes information regarding one or more resolutions. A resolution may be associated with a claim made by a client, and include multiple variables including correspondences between the client and the enterprise, an actual value corresponding to the claim, and an expected value corresponding to the claim. The computing system may generate a dataset of all of the resolutions, apply an outlier detection model, and provide an interactive summary of one or more outlier analysis tests via a graphical user interface.