Biological Data Valuation via Coincidence Ratio
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods struggle to accurately calculate the value of medical and healthcare data for incentivizing providers, as traditional approaches based on profitability, leakage compensation, or medical value conditions face challenges in valuing biological data with unknown medical value.
Innovation Solution
A biological information processing apparatus and system that calculates the value of provision biological data by determining a coincidence ratio between the provided data and the required data of potential destination candidates, further considering satisfaction levels and importance, to provide a monetary value that incentivizes data provision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the value of medical data is calculated based on profitability, then the incentive for data provision can be determined, but the calculation becomes inaccurate when medical practice decisions are made because profitability does not change
Solution Approach 1:
The patent changes the valuation parameter from profitability to data utility metrics. Instead of using financial profitability which remains constant regardless of decision outcomes, the system uses data quality metrics (completeness, accuracy, timeliness) and impact metrics (decision quality improvement, patient outcome enhancement) to calculate data value, enabling accurate valuation across different decision scenarios
2Measurement precision
If the value is calculated based on leakage compensation amount, then the incentive can be determined, but the value becomes zero when personal information is not included
Solution Approach 1:
The patent converts the potential harm of data leakage into a benefit by using differential privacy techniques and data anonymization. Instead of valuing data based on leakage compensation (which would be zero for anonymized data), the system values data based on its utility for medical research and public health while maintaining privacy through technical measures that prevent re-identification
3Measurement precision
If the value is calculated based on medical care conditions, then the utility can be assessed, but biological data with unknown medical value cannot be valued
Solution Approach 1:
The patent applies preliminary action by conducting preliminary data quality assessment and metadata enrichment before valuation. The system automatically tags and annotates biological data with metadata about data type, quality metrics, and potential applications, enabling the valuation system to assign appropriate values even when the specific medical value is unknown, by using general quality metrics and potential utility assessments
Data Source
AI summary
A biological information processing apparatus according to an embodiment includes an acquisition unit and a value calculation unit. The acquisition unit acquires provision biological information held by a provider and necessary information indicating biological information required by a provision destination candidate of the provision biological information. The value calculation unit acquires (calculates) a value of the provision biological information on the basis of the provision biological information and necessary information acquired by the acquisition unit.