Multicenter Image Analysis Standardization via Intermediary Platform
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Solution Overview
Problem
Multicenter studies face challenges in managing and integrating data from different research agencies due to varying data collection and analysis methods, making it difficult to perform efficient image-based research, as images are not numerical values and selecting relevant images for sharing is impractical.
Innovation Solution
A system and method for multicenter image analysis that standardizes the analysis environment, allowing multiple agencies to acquire and share analysis data through a standardized protocol, using a multicenter study support system with a manifold recruiting unit, analysis environment synchronizing unit, analysis data collecting unit, and analysis data processing unit, which includes an analysis program for processing medical images and anonymizing patient information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different research agencies use different data collection and analysis methods, then each agency can maintain its own operational flexibility, but it becomes difficult to integrally manage and share data across centers
Solution Approach 1:
The patent introduces a standardized data collection tool and analysis platform as an intermediary between different research agencies. This intermediary layer enables agencies to maintain their operational independence while ensuring all data is collected and analyzed according to uniform standards, allowing integral management and sharing across centers without requiring agencies to change their internal processes
Solution Approach 2:
The patent develops a universal data collection tool that can be used across multiple research centers with different operational approaches. This single tool serves multiple functions: collecting data from diverse sources, standardizing data formats, enabling cross-center sharing, and maintaining agency flexibility simultaneously
2Loss of information
If images are used as the basis for multicenter study, then valuable visual data can be analyzed, but it becomes practically impossible to select and share relevant images since images are not numerical values
Solution Approach 1:
The patent replaces manual image selection and sharing processes with an automated analysis platform that uses standardized protocols to objectively evaluate and select images. The system automatically processes images according to predefined criteria, generating shareable analysis results without requiring manual assessment of visual data
Solution Approach 2:
The patent transforms image data into standardized analytical parameters through automated processing. By converting visual information into measurable, comparable data points according to uniform protocols, the system enables objective image selection and sharing across centers while preserving the full value of the original image data
3Reliability
If multiple agencies conduct independent analysis, then each agency can use its own expertise and methods, but the study time increases and efficiency decreases
Solution Approach 1:
The patent establishes standardized analysis protocols and tools before the multicenter study begins. This preliminary standardization ensures that all agencies follow the same methods from the start, eliminating the need for later harmonization and reducing overall study time while maintaining high analysis quality through proven protocols
Data Source
AI summary
An image analysis method for multicenter study includes, by a multicenter study support system, recruiting and selecting a plurality of agency systems to perform multicenter study, and then distributing an analysis guide and an analysis program corresponding to a purpose and condition of the multicenter study to each of the agency systems, by each of the agency systems, collecting analysis data acquired through the analysis guide and the analysis program and then uploading the analysis data to the multicenter study support system, and by the multicenter study support system, collecting and processing the uploaded analysis data, and then sharing the data processing result with each of the agency systems.