Property Health Index Algorithm for Automated Risk Assessment
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Solution Overview
Problem
Current property inspection protocols do not adequately consider personal health sensitivities or specific data about building materials, design, and environmental factors, leading to biased and costly assessments of potential health risks for occupants.
Innovation Solution
A system and method that correlate individual health sensitivities with property attributes, local weather, and air quality to provide a digital health index for properties, using data acquisition from various sources and image processing to determine pollutant presence and potential health impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a qualified property inspector is retained to physically inspect the property and assess potential health-related issues, then the assessment of health risks may be more comprehensive, but the cost increases and the process becomes more time-consuming
Solution Approach 1:
The system performs preliminary data collection and processing by gathering property data, building attributes, and environmental information before the actual health risk assessment. This preliminary action prepares the foundation for automated analysis, reducing the time needed for manual inspection while maintaining comprehensive evaluation capabilities.
Solution Approach 2:
The patent replaces the mechanical system of manual physical inspection with an automated computational system. The system uses algorithms to process property data, correlate building attributes with health outcomes, and generate health risk assessments automatically, eliminating the need for manual inspection while improving efficiency and consistency.
2Measurement precision
If a qualified property inspector is retained to physically inspect the property, then the assessment may be more comprehensive, but the cost increases
Solution Approach 1:
The system enables self-service health risk assessment by allowing property owners to input basic property information and receive automated health risk evaluations without needing to hire external inspectors. The system uses readily available data sources and automated algorithms to perform assessments that were previously requiring professional services, thereby reducing costs while maintaining assessment quality.
Solution Approach 2:
The patent replaces the expensive manual inspection service with an automated computational system that processes property data through algorithms correlating building attributes with health outcomes. This substitution eliminates the need for costly professional inspector services while providing comprehensive health risk assessments through data-driven analysis.
3Ease of operation
If current inspection protocols are used, then the process is simpler and less costly, but the assessment is biased, limited due to lack of sufficient data, and susceptible to human error
Solution Approach 1:
The system incorporates feedback mechanisms by continuously correlating building attributes with health outcome data from multiple sources. The algorithm learns from aggregated data patterns and refines its assessments, providing objective results that are not susceptible to human bias or error while maintaining ease of operation through automated data processing and analysis.
Solution Approach 2:
The patent replaces manual inspection protocols with an automated computational system that processes property data through standardized algorithms. This substitution eliminates human bias and error while maintaining operational simplicity, as the system automatically collects, processes, and analyzes data without requiring manual intervention, thereby improving reliability while keeping the process easy to use.
Data Source
AI summary
Embodiment of the invention provide a method for determining a health index of a property area. The method comprises acquiring property data associated with a property area from a data source, and extracting a first property attribute data from the property data acquired. The first property attribute data extracted is used to determine presence or movement of a first pollutant data within the property area. The method further comprises determining a first potential impact data the first pollutant data may have on individual health based in part on the first property attribute data extracted, and computing a property score representing a health index of the property area based in part on the first potential impact data determined.


