Medical Data Editing Levels for Cross-Border Privacy Compliance
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Solution Overview
Problem
Existing medical data management systems fail to adequately address the varying legal requirements and user intentions for personal information protection across different countries, leading to potential safety risks and inefficiencies in data utilization.
Innovation Solution
A medical data management apparatus and method that performs a first editing process, such as pseudonymization, followed by a second editing process tailored to the output destination, ensuring compliance with local laws and user intentions, with the ability to restore data to its original form if needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal information is edited to protect individual identifiability, then safety of personal information is improved, but information accuracy for data analysis is worsened
Solution Approach 1:
The patent segments the editing process into multiple levels (first editing level for pseudonymization, second editing level for anonymization) and multiple processing stages (identification, pseudonymization, anonymization, accuracy reduction). This allows selective application of editing intensity based on the specific needs of different data users and purposes, thereby maintaining information accuracy where needed while ensuring safety where required.
Solution Approach 2:
The patent introduces the concept of 'editing levels' as a parameter that can be adjusted. The first editing level performs pseudonymization with restorability, while the second editing level performs anonymization without restorability. Additionally, the accuracy reduction process adjusts the degree of accuracy reduction based on the editing level and data user needs. This parameterization allows flexible balancing between safety and accuracy.
2Ease of operation
If editing process is simplified to improve operational ease, then ease of operation is improved, but compliance with varying legal requirements is worsened
Solution Approach 1:
The patent creates a universal data management apparatus that handles multiple editing levels and processing stages through a single integrated system. The apparatus can perform identification, pseudonymization, anonymization, and accuracy reduction processes, and can adapt to different legal requirements (e.g., GDPR, HIPAA) through configurable editing levels. This multi-functional design simplifies operation while maintaining compliance versatility.
Solution Approach 2:
The patent performs preliminary identification of personal information and determination of appropriate editing levels before actually executing the editing processes. The system preliminarily determines the editing level based on the data user and purpose, then applies the corresponding editing process. This preliminary action simplifies the overall operation by avoiding the need to manually configure complex editing parameters for each specific case.
3Measurement precision
If data is provided with high accuracy to maintain information quality, then information quality is improved, but risk of including unnecessary information is worsened
Solution Approach 1:
The patent applies partial editing rather than complete editing. At the first editing level, only pseudonymization is applied while maintaining restorability, and at the second editing level, anonymization is applied without restorability. The accuracy reduction process selectively reduces accuracy only to the extent necessary to prevent identification, rather than completely removing all identifying information. This partial action approach maintains information quality while removing unnecessary identifying information.
Data Source
AI summary
A medical data management apparatus according to the present invention, including a processor, in which the processor is configured to: perform a first editing process of editing, in medical data including personal information capable of identifying an individual and health data related to health of the individual, an item capable of identifying the individual from the personal information; and perform a second editing process of editing medical data after the first editing process in accordance with an editing level set according to affiliation information of an output destination and an intended use.