Quality of Life Quantification System Using Lifestyle Factor Rules Engine
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Solution Overview
Problem
Objective measurement of quality of life (QOL) is challenging due to its subjective and individualized nature, making it difficult to define and compare across individuals or populations.
Innovation Solution
A QOL quantification system that uses mathematical models to evaluate digital data on lifestyle factors, providing a composite score through a rules engine, normalization processor, and GUI, allowing comparison to standards or peers, and offering suggestions for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective surveys and individualized factors are used to measure QOL, then the measure reflects personal perception and satisfaction, but the measure becomes difficult to define objectively and compare across individuals
Solution Approach 1:
The patent transforms QOL measurement from subjective parameters (personal satisfaction, perception) to objective parameters (quantifiable lifestyle factors, statistical data). By changing the measurement parameters from intangible qualities to concrete, measurable indicators, the system achieves objective comparison while maintaining relevance to individual quality of life through selected lifestyle factors.
2Measurement precision
If multiple lifestyle factors are measured and processed through mathematical models, then an objective QOL score is produced, but the system complexity increases
Solution Approach 1:
The patent divides QOL measurement into separate, independent lifestyle factors (e.g., nutrition, exercise, sleep, stress management). Each factor is measured and processed independently through mathematical models, then aggregated to produce an overall QOL score. This segmentation reduces system complexity by breaking down the complex task of QOL measurement into manageable, modular components.
Solution Approach 2:
The patent introduces mathematical models and statistical processing as intermediary layers between raw lifestyle data and QOL scores. These intermediaries transform diverse, unstructured lifestyle factors into standardized, comparable metrics, simplifying the overall measurement process while maintaining objectivity and precision.
3Measurement precision
If statistical data and mathematical models are used to process QOL factors, then objective comparison is enabled, but the difficulty of detecting and measuring individual QOL aspects increases
Solution Approach 1:
The patent replaces direct, complex measurement of subjective QOL aspects with indirect measurement through statistical data and mathematical models. Instead of attempting to directly measure intangible qualities like satisfaction or well-being, the system uses observable lifestyle factors and statistical correlations to infer QOL, significantly reducing measurement difficulty while maintaining objectivity.
Data Source
AI summary
An objective measure of human QOL is determined by a QOL quantification system. The QOL quantification system comprises a QOL rules engine, a QOL measure datastore, a score data archive, a user computing device, and a network. The QOL measure datastore comprises quantifiable measures of QOL of a QOL factor. The QOL rules engine comprises instructions for receiving user data indicative of a plurality of attributes of a selected QOL factor of the user, obtaining measures of QOL from the QOL measures datastore associated with the selected QOL factor, evaluating the user data against the QOL measures of the selected QOL factor, determining a user score indicative of the QOL of the selected QOL factor of the user, storing the user score in the score data archive, and comparing the user score to a score stored in the score data archive. The QOL rules engine may also suggest change options to one or more QOL factors to improve the user score. The suggested change options may be presented as an ordered listed organized by a relative cost benefit measure.