Health Profile Rules Engine for Environmental Acclimation
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Solution Overview
Problem
Individuals, especially those with chronic diseases, face challenges in adapting to changing environmental conditions due to rapid and extreme weather fluctuations, as they lack sufficient environmental supports, and existing solutions do not effectively provide personalized self-care and acclimation recommendations based on unique health profiles and location-specific data.
Innovation Solution
A system that uses a client device to transmit location and health profile data to a remote computer, which associates this information with environmental conditions and medical best practices to generate and send self-care and acclimation recommendations through a data network, utilizing a rules engine to tailor advice based on age, health status, and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personalized self-care recommendations are provided based on health profiles and environmental conditions, then health adaptation effectiveness is improved, but system complexity increases
Solution Approach 1:
The system segments the problem into distinct functional modules: a client device for data collection and transmission, a remote computer for processing, a rules engine for generating recommendations, and a database for storing health profiles. This segmentation allows each component to perform its specific function independently, improving reliability while managing complexity through modular design.
Solution Approach 2:
The patent introduces a rules engine as an intermediary component that acts as a mediator between the environmental data/health profile inputs and the self-care recommendations outputs. This intermediary processes and transforms raw data into actionable recommendations, enhancing the effectiveness of health adaptation while maintaining system organization and manageability.
2Measurement precision
If real-time environmental monitoring and personalized recommendations are implemented, then acclimation accuracy is improved, but information processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-storing health profiles and rules in the database before real-time processing occurs. When environmental data is received, the rules engine can quickly match conditions against pre-defined rules and health profiles without needing to perform complex analysis from scratch, thereby improving acclimation accuracy while reducing real-time processing requirements.
3Adaptability or versatility
If comprehensive health profile data is collected and processed, then recommendation relevance is improved, but data transmission and storage requirements increase
Solution Approach 1:
The patent extracts only the essential and relevant health profile data needed for generating recommendations, rather than processing all possible health information. The system identifies and extracts key parameters from comprehensive health profiles that are most relevant to environmental adaptation, thereby improving recommendation relevance while reducing data transmission and storage requirements.
Data Source
AI summary
Computer implemented methods and systems to provide self-care and acclimation recommendations to a client device based on a unique health profile and environmental conditions.