Community Healthcare Data Correlation System
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Solution Overview
Problem
Existing healthcare systems face challenges in accessing and analyzing diverse data sources to effectively measure healthcare resource distribution and allocate resources efficiently, leading to a scarcity of useful data representations for decision-making in communities.
Innovation Solution
A system and method for measuring community healthcare attributes by storing healthcare data in electronic storage systems, correlating health outcomes with population attributes, and displaying community scores based on selected outcomes and attributes, using interactive tools for user input and data representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If extensive efforts are made to identify and access diverse data sources, then the completeness of healthcare data increases, but the complexity and difficulty of accessing data sources increases
Solution Approach 1:
The patent introduces a centralized data repository and standardized data collection framework that acts as an intermediary between diverse data sources and analysis tools. This intermediary layer consolidates access to multiple data sources through uniform interfaces, reducing the complexity of accessing healthcare data while maintaining data completeness from diverse sources.
2Measurement precision
If repeated efforts are made to access different data sources for refined research, then the precision of healthcare measurements improves, but the time and resources required increase
Solution Approach 1:
The patent implements preliminary data collection and standardization processes that prepare healthcare data in advance for analysis. By establishing standardized data structures and pre-validated data collection protocols, the system enables precise measurements to be obtained more efficiently without requiring repeated access efforts to different data sources.
3Reliability
If comprehensive healthcare data collection is implemented across multiple communities, then the usefulness of data for resource allocation decisions improves, but the difficulty of storing and managing diverse data increases
Solution Approach 1:
The patent transforms diverse healthcare data into standardized parameters and metrics that can be consistently stored and managed across different communities. By converting various data formats and structures into uniform parameters suitable for resource allocation analysis, the system maintains data reliability while reducing the complexity of data storage and management.
Data Source
AI summary
A system and method for identifying relationships and correlations between community healthcare attributes includes automatically displays relationships between selected community health measures. A correlation tool automatically computes correlations between a selected main measure and each other measures in a set of community health measures for selected communities. The correlation tool automatically displays a ranked list of the other community health measures based on their correlation to the selected main measure. A relationship tool automatically computes correlations between selected measures in the set of community health measures for selected communities. The relationship tool displays a correlation graph indicating values of the selected measures for each of a selected set of communities. An adjusted correlation graph is automatically displayed to indicate adjusted values of the selected measures to accommodate a selected third measure as a control variable.


