Personalized Health Management System Using Risk-Based Segmentation
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Solution Overview
Problem
Current healthcare management systems lack integration of personalized health guidelines with market-based data on products and services, making it difficult for users to make informed decisions and for providers to contain costs effectively.
Innovation Solution
A system that integrates personalized health risk analysis with comprehensive health information and market-based data, using interactive dialog and robust filtering mechanisms to provide users with relevant information on products and services tailored to their individual needs, while ensuring privacy and control over their data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If general-purpose health guidelines are provided to users, then information availability is improved, but applicability to individual users deteriorates
Solution Approach 1:
The patent segments health guidelines into personalized categories based on user-specific risk factors, health status, and preferences. The system divides general health information into tailored subsets for each user, ensuring both comprehensive information availability and individual applicability through customized health management plans.
Solution Approach 2:
The system applies local quality by customizing health guidelines according to each user's specific characteristics, including risk factors, health status, and personal preferences. Each user receives locally optimized health recommendations rather than uniform general guidelines, improving relevance and applicability.
2Measurement precision
If comprehensive health information and market-based data are integrated, then user decision-making quality is improved, but system complexity increases
Solution Approach 1:
The patent merges comprehensive health information from multiple sources with market-based data on products and services into a unified personalized health management system. This integration provides users with consolidated, relevant information for informed decision-making while managing system complexity through coordinated data processing.
Solution Approach 2:
The system employs an intermediary processing layer that filters, organizes, and presents relevant information from diverse sources to users. This intermediary mechanism manages the complexity of integrating comprehensive health data and market information while delivering simplified, actionable insights to end users.
3Reliability
If personalized health guidelines are provided based on individual risk factors, then health management effectiveness is improved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary action by collecting and analyzing user-specific risk factors, health status, and preferences in advance to generate personalized health guidelines. This upfront data processing enables effective personalized health management while reducing ongoing computational requirements by establishing customized plans beforehand.
Data Source
AI summary
The present invention relates to dispensation of health care, specifically to personalized management of an individual user's health care. The invention presents a method of integrating personal risk analysis of the user as well as the resources utilized by the health care industry, including insurers, medical services providers and manufacturers, care givers and other participants in the user's health care decision making. Utilizing various filters with specific and known health risk factors and user preference models for the individual consumer, the system and method of this invention provide comprehensive information, including products and services of interest to the consumer, user community or another one of interested parties listed above.