Wellness Assessment System Integrating Population Data
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Solution Overview
Problem
Conventional health assessments in medicine and healthcare are limited to separate scores for distinct body and biological aspects, making it difficult to provide a comprehensive and precise evaluation of an individual's overall wellness.
Innovation Solution
A system and method that integrate health-relevant data from multiple sources to generate measurable indexes of an individual's wellness by using a data communications interface, integration and synthesis engine, conditions capture engine, and modeling tool to combine weighting factors and individual-specific data, resulting in an overall health score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional separate scores for distinct body and biological aspects are used, then the assessment is simple to implement, but the comprehensiveness and precision of overall wellness evaluation deteriorates
Solution Approach 1:
The patent combines multiple separate health assessment scores into a single integrated overall wellness score. The system integrates data from multiple sources including biological markers, lifestyle factors, and clinical measurements, then synthesizes them using weighted algorithms to produce one comprehensive health metric that reflects total wellness rather than isolated body systems.
Solution Approach 2:
The assessment system is designed to evaluate multiple aspects of health (cardiovascular, metabolic, neurological, musculoskeletal systems) through a single unified framework. The overall wellness score serves as a universal metric that can assess diverse health dimensions simultaneously, making the system multi-functional rather than requiring separate assessments for each body system.
2Adaptability or versatility
If multiple data sources are integrated to provide comprehensive wellness assessment, then the holistic measurement improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the complex data integration process into distinct functional modules: data collection from multiple sources, data validation and cleaning, weighted score calculation for different health domains, and final synthesis into an overall wellness score. This modular segmentation manages processing complexity by organizing the integration task into manageable, independent stages that can be processed sequentially.
Solution Approach 2:
The system transforms heterogeneous data from multiple sources into standardized parameters with assigned weights. By converting diverse health metrics (blood pressure, cholesterol, lifestyle habits, genetic markers) into normalized parameter values with predetermined weightings, the system simplifies the integration process while maintaining the holistic assessment capability across all data sources.
Data Source
AI summary
A system for generating measurable indexes for providing a total wellness assessment of an individual is provided. The system can include a communications interface for accessing databases of population data derived from samplings of populations. The system further can include an integration and synthesis engine for generating weighting factors based upon a combination of the data, each weighting factor corresponding to a body region of the individual or to a health condition associated with the individual and based upon the population data. The system also can include a conditions capture engine for capturing individual-specific data corresponding to predetermined health conditions. The system can further include a modeling tool for combining the weighting factors with the individual-specific data. Moreover, the system can include a quotient generator for generating an overall health score corresponding to the individual based on the combining of weighting factors, population data, and individual-specific data.