Interim Data Analysis for De-identification Process Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current de-identification methods require significant time and resources due to the need for trial and error, as they analyze final result data after completing the de-identification process, making it difficult to optimize the process and ensure proper de-identification without relying on user expertise.
Innovation Solution
A method and apparatus that analyze interim result data during the de-identification process, generating analysis metrics to determine if de-identification criteria are met, allowing for optimization of each step and minimizing the time and resources required to generate final result data by enabling the direction of the de-identification procedure without relying on user capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If de-identification analysis is performed only on final result data after completing the entire de-identification process, then the analysis comprehensively evaluates the final output, but the process requires significant time and resources due to trial and error and cannot be optimized at intermediate steps
Solution Approach 1:
The patent divides the de-identification process into multiple stages, performing analysis on interim result data at each stage rather than only on final result data. This segmentation allows for early detection of inadequate de-identification and enables optimization at intermediate steps, reducing the need for complete re-processing and minimizing time loss.
Solution Approach 2:
The patent performs de-identification analysis on interim result data before the complete de-identification process is finished. By conducting preliminary analysis at intermediate stages, the system can identify issues early and adjust the de-identification approach accordingly, preventing wasted time on ineffective complete re-processing.
2Reliability
If de-identification processing is repeated from the beginning when final result data is inappropriate, then the analysis ensures thorough evaluation, but a large amount of time and resources are required
Solution Approach 1:
The patent implements feedback mechanisms by analyzing interim result data at each de-identification stage and using this information to guide subsequent processing steps. This feedback allows for real-time adjustments to the de-identification approach, ensuring result appropriateness while avoiding the need to repeat the entire process from the beginning, thereby maintaining high productivity.
Solution Approach 2:
The patent makes the de-identification process dynamic by allowing adjustments at intermediate stages based on analysis of interim result data. Rather than following a fixed rigid process that requires complete re-processing when results are inadequate, the system can adapt and modify de-identification steps ongoing, improving both reliability and productivity.
3Manufacturing precision
If multiple trials of de-identification are conducted to achieve desired result level, then the final result quality is improved, but the process requires significant resources and user expertise
Solution Approach 1:
The patent uses feedback from interim result analysis to guide subsequent de-identification trials, making the process more systematic and less dependent on user expertise. The feedback mechanism provides objective criteria for evaluating intermediate results and determining next steps, reducing the complexity burden on users while maintaining high result quality.
Solution Approach 2:
The patent enables the de-identification system to self-evaluate and self-adjust by automatically analyzing interim result data and determining whether further processing is needed. This self-service capability reduces reliance on user expertise and simplifies the overall process complexity while maintaining manufacturing precision through systematic quality control.
Data Source
AI summary
The present disclosure relates to a method for analysis on interim result data in a de-identification procedure, an apparatus for the same, a computer program for the same, and a recording medium storing computer program thereof. A method for de-identification according to an example of the present disclosure may include: generating a first interim result data by applying a first de-identification process to an initial data; generating a first analysis metric for the first interim result data; and generating a final result data based on the first interim result data, when the first analysis metric satisfies a first de-identification criterion.