Common ID Assignment for Cross-Hospital Patient Data Confidentialization
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Solution Overview
Problem
The challenge lies in effectively collecting and analyzing electronic medical records while ensuring patient privacy, as existing methods face resistance from hospitals due to concerns about personal information protection, leading to insufficient data collection for big data analysis.
Innovation Solution
An information processing apparatus and system that assigns common identification information to personal data from multiple hospitals, confidentializing it to generate anonymous data, allowing for accurate analysis while protecting patient privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If personal information from multiple hospitals is collected for big data analysis, then the quantity and accuracy of analysis results improve, but patient privacy protection deteriorates
Solution Approach 1:
The patent introduces a common identification information system as an intermediary mechanism that enables data linkage across hospitals without exposing personal identifiers. The confidentialized personal information acts as a mediator that preserves patient anonymity while still allowing accurate identification and consolidation of patient records across multiple institutions, thus resolving the contradiction between data collection volume and privacy protection.
Solution Approach 2:
The patent transforms personal information by changing its parameters through confidentialization - replacing direct personal identifiers with confidentialized versions that maintain identification capability while removing privacy-sensitive elements. This parameter transformation allows the same data to serve both analytical purposes and privacy protection requirements simultaneously.
2Object-affected harmful factors
If confidentialization processing is applied to personal information, then patient privacy is protected, but the ability to accurately identify and consolidate patient data across hospitals deteriorates
Solution Approach 1:
The patent applies parameter changes by transforming personal identifiers into confidentialized identifiers that maintain the essential identification function while altering the form to protect privacy. The confidentialized personal information retains sufficient discriminatory power to accurately identify and consolidate patient records across hospitals while removing directly identifiable elements.
Solution Approach 2:
The patent creates a copy of personal information in confidentialized form that preserves the identification functionality needed for data consolidation while eliminating privacy risks. This confidentialized copy serves as a surrogate that maintains data utility for analysis purposes without exposing sensitive personal details.
Data Source
AI summary
A memory stores common identification information that is shared between a plurality of information provision institutions for identifying a person. A processor assigns the common identification information to personal information transferred to a storage device from a plurality of operation databases respectively of the plurality of information provision institutions. Then, the processor generates confidentialized personal information by confidentializing the personal information to which the common identification information has been assigned.