Automated ECG Assignment System for Clinical Trial Data
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Solution Overview
Problem
The manual assignment of electrocardiogram (ECG) data in clinical trials is time-consuming and labor-intensive, particularly in assessing the safety of new medications, as per ICH document E14 guidelines, which requires consistent and reliable evaluation.
Innovation Solution
Automating the assignment of ECG data to primary and secondary readers based on predetermined intra-read and inter-read percentages, minimizing manual labor by selectively reassigning and assigning ECGs to reduce reader bias and enhance evaluation consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual assignment of ECG data to readers is performed, then reliability and consistency of evaluation is maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system automatically assigns ECG data to readers based on predetermined criteria and percentages, allowing the system to serve itself without manual intervention. The automated assignment mechanism selects and distributes ECG records to primary and secondary readers according to predefined rules, eliminating the need for manual assignment while maintaining evaluation reliability.
Solution Approach 2:
The patent uses predetermined intra-read percentage and inter-read percentage parameters to automatically control the assignment process. By changing from manual assignment to automated assignment based on these percentage parameters, the system reduces time consumption while maintaining the reliability and consistency of ECG evaluation through standardized criteria.
2Reliability
If manual assignment of ECG data is performed, then evaluation consistency is maintained, but labor requirements increase significantly
Solution Approach 1:
The automated assignment system performs the labor-intensive task of distributing ECG data to readers without manual intervention. The system self-manages the assignment process using predetermined percentages and criteria, significantly reducing labor requirements while maintaining evaluation consistency through standardized automated decision-making.
Solution Approach 2:
The patent replaces the mechanical manual assignment process with an automated computer-based system. The mechanical action of manually selecting and assigning ECG records is substituted by an automated system that uses software algorithms to distribute data based on predetermined intra-read and inter-read percentages, eliminating manual labor while maintaining consistency.
3Productivity
If automated assignment of ECG data is implemented, then manual labor requirements are reduced, but system complexity increases
Solution Approach 1:
The automated assignment system is segmented into distinct functional components: primary reader assignment, secondary reader assignment, intra-read percentage calculation, and inter-read percentage calculation. This segmentation allows each component to perform a specific function independently, reducing overall system complexity while maintaining high productivity through automation.
Solution Approach 2:
The system uses predetermined percentages and criteria that are established in advance before the actual ECG data processing begins. By performing the assignment logic preparation beforehand, the system reduces the complexity of real-time decision-making and simplifies the automated assignment process while maintaining high productivity.
Data Source
AI summary
A method for assigning an ECG for purposes of conducting a clinical trial is disclosed herein. The method includes assigning an ECG to a primary reader, selectively reassigning the ECG to the primary reader, and selectively assigning the ECG to a secondary reader. The method also includes automating the assignment of the ECG to a primary reader, automating the selective reassignment of the ECG to the primary reader, and/or automating the selective assignment of the ECG to a secondary reader in order to minimize manual labor requirements.