Multimodal Wellness Data Aggregation for Dynamic Cross-Domain Scoring

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Solution Overview

Problem

Current solutions for digital wellness management are limited to specific wellness domains, failing to provide a holistic view that considers multiple aspects of an individual's well-being, such as physical, mental, and financial health, and do not adapt dynamically to changing circumstances.

Innovation Solution

A multimodal wellness platform aggregates data from various sources using AI to determine a comprehensive wellness score, integrating physical, mental, and financial health factors, and dynamically updates this score based on user activities and goals, providing personalized feedback and incentives.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is aggregated from multiple third-party data pools to provide holistic wellness assessment, then the comprehensiveness of wellness evaluation is improved, but the system complexity and data integration difficulty increase

Engineering Contradiction:

Improvecomprehensiveness of wellness evaluationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an API gateway as an intermediary component that mediates between the wellness application and multiple third-party data pools. The gateway handles data aggregation, validation, and integration from diverse sources including financial, health, and wellness data pools, thereby reducing the complexity burden on the core application while maintaining comprehensive data collection capabilities

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system is segmented into distinct functional modules: data collection layer (multiple data pools), data processing layer (API gateway with validation and aggregation functions), and application layer (wellness assessment application). This segmentation allows each component to be developed, maintained, and scaled independently, reducing overall system complexity while enabling comprehensive wellness evaluation

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If multiple data pools from third parties are integrated, then the quality and personalization of wellness scores improve, but the difficulty of detecting and measuring data relationships increases

Engineering Contradiction:

Improvewellness score accuracyVSAvoiddata relationship analysis difficulty

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces manual data relationship analysis with automated machine learning models and algorithms. These computational systems automatically detect patterns, correlations, and relationships across multiple data dimensions (financial stability, physical health, mental wellness), thereby improving measurement precision while reducing the difficulty of analyzing complex interrelationships among diverse data sources

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If dynamic wellness scoring with multiple factors is implemented, then the adaptability to individual user needs improves, but the computational resources and processing time increase

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidcomputational resource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The wellness scoring system is designed to be dynamic rather than static. The API gateway implements incremental data fetching and real-time score updates based on changing user circumstances. Machine learning models continuously adapt to individual user patterns, allowing the system to maintain high personalization capability while optimizing computational resource usage through event-driven updates rather than continuous full recalculations

Inventive Principle:

Principle #15Dynamics

4Loss of information

If comprehensive multimodal data is collected and processed, then the holistic understanding of user wellness is improved, but the data management and storage requirements increase

Engineering Contradiction:

Improveinformation completenessVSAvoiddata volume

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The API gateway extracts and validates only the essential and relevant data elements from comprehensive third-party data pools. It filters out redundant information while preserving critical wellness indicators across multiple domains. This selective extraction maintains information completeness for holistic wellness assessment while reducing the overall data volume that needs to be stored and processed

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20260018266A1Methods and Systems for Streaming, Managing, and Utilizing Multimodal Wellness Data

Publication Date: 2026.01.15 THE PRUDENTIAL INSURANCE COMPANY OF AMERICA

AI summary

This application is directed to adaptively managing holistic wellness of multiple users via a cloud-based multimodal personal data management platform. A computer device executing a multimodal wellness application obtains an aggregation of data related to a user from two or more data pools. At least one of the data pools is hosted by a third-party application, distinct from the multimodal wellness application. The computing device associates the aggregation with different wellness domains to determine a multimodal wellness score indicating a quality of an association of the data with the plurality of wellness domains. Based on the multimodal wellness score, the computing device determines a set of data rules associated with one or more of the plurality of wellness domains. And the computing device displays one or more user interface elements indicating a progression towards an objective based on satisfaction of respective data rules of the set of data rules.