Dynamic Benefit Group Associations for Attribute-Driven Valuation

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Solution Overview

Problem

Existing healthcare systems face challenges in efficiently and accurately quantifying the value of goods or services in electronic transactions, leading to resource wastage and latency issues that hinder timely execution.

Innovation Solution

A data processing system that identifies role, geography, and temporal attributes of user objects to generate dynamic associations and modify them based on attribute changes, creating a modifiable tree structure for efficient benefit group management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional healthcare systems process electronic transactions manually or with basic automation, then accuracy in quantifying value can be maintained, but processing speed and timeliness deteriorate due to resource constraints and system latency

Engineering Contradiction:

Improvetransaction processing speedVSAvoidlatency in value quantification

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system dynamically adjusts benefit group associations based on real-time changes in user attributes (role, geography, temporal). The dynamic tree structure automatically reconfigures when attributes change, enabling the system to adapt to varying healthcare needs without manual intervention and reducing processing latency by pre-establishing multiple benefit group mappings.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system pre-processes and pre-establishes benefit group associations for various user scenarios before actual transactions occur. By pre-configuring the dynamic tree structure with multiple possible benefit group mappings based on role, geography, and temporal attributes, the system eliminates the need for real-time manual evaluation and accelerates transaction processing.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If comprehensive benefit group associations are maintained for all possible user scenarios, then accuracy and completeness of value quantification improve, but system complexity and resource requirements increase

Engineering Contradiction:

Improveaccuracy in value quantificationVSAvoidcomplexity of benefit group management

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments benefit group associations into distinct categories based on user attributes: role-based groups, geography-based groups, and temporal-based groups. This segmentation allows the system to manage comprehensive benefit mappings systematically by organizing them into a hierarchical tree structure, reducing the complexity of maintaining and querying all possible associations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces a hierarchical dimension to benefit group management through the dynamic tree structure. Instead of managing benefit groups as flat, independent entries, the tree structure organizes them across multiple levels (root nodes representing attribute types, intermediate nodes representing specific attributes, leaf nodes representing benefit groups). This dimensional organization enables efficient storage, retrieval, and management of comprehensive associations.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Adaptability or versatility

If static benefit group associations are used, then system simplicity is maintained, but adaptability to changing user attributes and healthcare policies deteriorates

Engineering Contradiction:

Improveadaptability to attribute changesVSAvoidcomplexity of dynamic association management

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system continuously monitors changes in user attributes (role, geography, temporal) and automatically adjusts benefit group associations in response. When attribute changes are detected, the dynamic tree structure provides feedback mechanisms that trigger automatic reconfiguration of benefit mappings, ensuring the system adapts to changing healthcare policies and user needs without manual intervention.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system manages adaptability by changing parameter values within the dynamic tree structure rather than creating entirely new associations. When user attributes change, the system adjusts the corresponding parameters in the tree (such as updating benefit group mappings based on new role classifications or geographic data), allowing flexible adaptation while maintaining the overall structural integrity of the association system.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12572599B2Systems and methods of generating dynamic associations based on user object attributes

Publication Date: 2026.03.10 ALEGEUS TECHNOLOGIES LLC

AI summary

Example implementations include a system to generate a user object, with a data processing system comprising memory and one or more processors to identify a role attribute of a user object, a geography attribute of the user object, and a temporal attribute of the user object, determine, based on the role attribute, the geography attribute, and the temporal attribute, a benefits group corresponding to the user object, generate a dynamic association of the user object to the benefits group, the dynamic association from the role attribute, the geography attribute, and the temporal attribute, and modifiable in response to a modification of one or more of the role attribute, the geography attribute, and the temporal attribute, and generate a dynamic tree structure from the dynamic association, the tree structure modifiable in response to the modification of one or more of the role attribute, the geography attribute, and the temporal attribute.