Clinical Trial Image Evaluation Rule Checking and Correction
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Solution Overview
Problem
The management of clinical trial image evaluation data is burdensome due to complex evaluation criteria and procedures, leading to manual verification and correction processes that consume time and manpower, and the lack of integrated data management across separate systems.
Innovation Solution
A method and system for automatically managing clinical trial image evaluation data by obtaining and analyzing image evaluation data from multiple evaluators, detecting errors, providing queries for corrections, and converting data into a standard format, thereby integrating and streamlining the evaluation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification and correction processes are used for image evaluation data, then data quality can be maintained, but time consumption and manpower requirements increase significantly
Solution Approach 1:
The system performs self-verification of image evaluation data by automatically checking against preset evaluation rules and criteria. The automated system independently identifies errors, generates queries, and validates corrections without requiring continuous manual verification, thereby maintaining data quality while significantly reducing time consumption and manpower requirements
Solution Approach 2:
The patent replaces manual mechanical verification processes with an automated computer-based system. The system uses software algorithms to automatically check evaluation data against preset rules, generate queries for corrections, and validate changes, substituting the manual mechanical process of human verification with an automated electronic system
2Reliability
If separate programs and systems are used for each evaluation procedure, then specific evaluation criteria can be applied, but data management efficiency decreases and integration becomes difficult
Solution Approach 1:
The patent merges multiple separate evaluation procedures and systems into a single integrated platform. The unified system combines image acquisition, evaluation, query generation, and data management functions that were previously handled by separate programs, enabling efficient data management while maintaining the accuracy of specific evaluation criteria through modular rule sets
Solution Approach 2:
The system provides universal functionality by handling multiple evaluation procedures and data types within a single integrated platform. The system can accommodate various evaluation criteria and procedures while maintaining a unified data management approach, thereby improving productivity and integration without sacrificing evaluation accuracy
Data Source
AI summary
Provided are a method and system for automatically managing clinical trial image evaluation data. The method automatically managing clinical trial image evaluation data comprises the operations of: obtaining first image evaluation data and second image evaluation data from a first evaluator and a second evaluator, respectively; analyzing the obtained image evaluation data by evaluation items, whether the obtained image evaluation data conforms to preset evaluation rules; in a case in which the obtained image evaluation data includes an evaluation item which does not conform to the evaluation rules, automatically providing a query including a correction request and help with respect to the evaluation item that does not conform to the evaluation rules; and determining whether the first image evaluation data and the second image evaluation data match each other with respect to the evaluation items.