Health Data Pricing via Sensitivity Correlation Analysis
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Solution Overview
Problem
The lack of clear criteria and pricing for health data acquired from surveys makes it difficult to sell health data efficiently, and there is a need for a method to determine appropriate prices for health data based on sensitivity and asking price information.
Innovation Solution
A method is provided to determine price information for health data by acquiring sensitivity information and asking price information from survey participants, calculating individual and overall correlations between sensitivity and asking price, and using these correlations to provide type-specific and period-specific price information for the health data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If health data is collected through surveys to improve data availability, then quantity of health data increases, but pricing accuracy deteriorates due to lack of clear criteria
Solution Approach 1:
The patent transforms the pricing approach by changing parameters from fixed arbitrary prices to dynamic prices based on sensitivity analysis. It introduces new parameters including sensitivity scores, willingness-to-pay metrics, and correlation coefficients that link data characteristics to pricing decisions, enabling accurate pricing for large volumes of survey data
Solution Approach 2:
The patent introduces an intermediary pricing determination system that acts as a mediator between data collectors and buyers. This system uses sensitivity analysis results and correlation indicators as intermediate variables to translate raw survey data into objectively determined prices, resolving the pricing accuracy problem
2Measurement precision
If individual survey responses are analyzed to improve pricing objectivity, then measurement precision improves, but device complexity increases due to multiple analysis steps
Solution Approach 1:
The patent segments the pricing determination process into distinct analytical modules: sensitivity analysis module, correlation analysis module, and pricing determination module. Each module handles a specific aspect of the analysis independently, making the complex system more manageable and implementable through standardized procedures
Solution Approach 2:
The system performs self-service through automated sensitivity analysis and correlation calculations that do not require manual intervention. The methodology enables the system to independently determine pricing based on pre-established analytical frameworks, reducing operational complexity despite the sophisticated analysis performed
Data Source
AI summary
According to an embodiment, there are disclosed a device and a method for providing price information for health data, including: a process of acquiring sensitivity information indicating a degree of sensitivity to a plurality of pieces of health data and survey data from a plurality of surveys including asking price information for the plurality of pieces of health data; a process of acquiring individual correlation information that represents an individual correlation of asking price relative to sensitivity in each of the plurality of surveys based on the survey data; a process of acquiring a correlation trend indicator that represents an overall correlation of the asking price relative to sensitivity based on a regression result of the individual correlation information; and a process of providing price information determined for the plurality of pieces of health data based on the correlation trend indicator.