Healthcare Cost Analytics Platform Using Non-Parametric Variable Correlation
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Solution Overview
Problem
Current data analytics methods in healthcare are inefficient due to manual processes and disparate data formats, making it difficult to identify factors influencing healthcare costs in a time- and technology-efficient manner.
Innovation Solution
A computer-implemented platform that receives data from multiple sources, processes it using non-parametric and parametric analysis to identify variables affecting healthcare costs, and provides data visualizations for displaying results, enabling rapid and accurate identification of significant costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual processes are used to analyze healthcare data in disparate systems, then flexibility in handling different data formats is maintained, but time efficiency and technological efficiency deteriorate
Solution Approach 1:
The patent introduces an intermediary layer (data integration platform) that mediates between disparate data sources and analysis systems. This platform standardizes data formats and provides unified access, eliminating the need for manual data handling while managing complexity centrally rather than across multiple systems.
Solution Approach 2:
The patent creates a universal data analysis platform that can handle multiple data formats and sources through standardized interfaces. This multi-functional system replaces multiple specialized manual processes, improving time efficiency while consolidating complexity into a single unified system.
2Measurement precision
If data from multiple disparate sources is processed, then comprehensive healthcare cost analysis is achieved, but data processing complexity and time requirements increase
Solution Approach 1:
The patent applies preliminary data preprocessing and standardization steps that prepare data from multiple sources in advance for analysis. By pre-processing data to a common format and structure before analysis, the system achieves comprehensive analysis accuracy without the time penalty of processing raw disparate data during the analysis phase.
3Productivity
If automated processing is implemented to improve efficiency, then time efficiency improves, but system complexity and difficulty of implementation increase
Solution Approach 1:
The patent implements self-service automated processing where the system automatically handles data integration, standardization, and analysis without requiring manual intervention. The automated system serves itself by having built-in capabilities to manage its own complexity, reducing the burden on users while maintaining high processing efficiency.
Data Source
AI summary
Implementations directed to identifying variables affecting a cost of healthcare include actions of receiving data from a plurality of data sources, the data relating to cost of providing healthcare, providing a data model based on the data, processing the data model using non-parametric analysis to provide a non-parametric result, the non-parametric result including a first and second variable, automatically processing the data model to correlate at least the first variable of the non-parametric result to the second variable of the non-parametric result to provide a correlation result, processing the correlation result using parametric analysis to provide a parametric result including at least one variable that affects the cost more than one or more other variables of a plurality of variables of the data model, and providing at least one data visualization for display, the at least one data visualization providing at least one graphical representation of the parametric result.