Medical Error Tracking System for Measurement Accuracy
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Solution Overview
Problem
In medical examinations, incorrect individual measurements due to operator errors lead to repeated scans, increased patient exposure to radiation, prolonged examination times, and reduced economic efficiency, with existing systems lacking effective methods to accurately identify and track such errors.
Innovation Solution
A computer-implemented method and system that provides error information for multiple individual measurements by extracting examination information, determining incorrect measurements, and compiling error data, using a trained function to analyze and correct measurement settings, thereby optimizing examination protocols and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual measurements are manually adjusted by operators, then measurement settings can be adapted to patient-specific conditions, but operator errors lead to incorrect measurements and repeated scans
Solution Approach 1:
The system automatically feeds back error information to operators about incorrect measurements, enabling them to correct settings and avoid repeating mistakes. This feedback loop improves reliability by reducing operator errors while maintaining the ability to adapt measurements to patient-specific conditions.
Solution Approach 2:
The system provides self-service by automatically tracking and identifying incorrect measurements without requiring manual intervention. This reduces reliance on operator vigilance and minimizes errors caused by human fatigue or oversight, thereby improving measurement accuracy.
2Reliability
If incorrect measurements are repeated to ensure accuracy, then measurement quality improves, but patient exposure to radiation increases and examination time extends
Solution Approach 1:
The system performs preliminary tracking of measurement settings and automatically identifies potential errors before they result in repeated scans. By detecting incorrect measurements early and providing error information, the system prevents unnecessary repetitions, thereby reducing examination time while maintaining measurement quality.
Solution Approach 2:
The system replaces manual operator review and repetition of measurements with an automated electronic tracking and identification system. This substitution reduces the need for repeated scans by providing automated error detection, thereby shortening examination duration while ensuring measurement accuracy.
3Loss of information
If manual tracking of measurement errors is performed, then error identification is possible, but the process is time-consuming and prone to human error
Solution Approach 1:
The system performs self-service by automatically tracking and identifying measurement errors without requiring manual intervention. This automated approach eliminates human error in error tracking and significantly improves productivity by rapidly processing measurement data to identify incorrect measurements.
Solution Approach 2:
The system replaces manual error tracking with an automated electronic system that continuously monitors measurement settings and automatically identifies errors. This substitution dramatically improves efficiency and accuracy of error identification while reducing the time required for error tracking.
Data Source
AI summary
A computer-implemented method is for providing error information in respect of a plurality of individual measurements. The method includes providing the plurality of individual measurements, each assigned to one examination respectively; receiving check information from a user in respect of a cohort of examinations to be checked. For each examination of the cohort, the method includes extracting examination information based upon the individual measurements pertaining to the examination; determining, based upon the examination information, whether one or more incorrect measurements has occurred during the examination and ascertaining examination error information based upon the result. The method also includes compiling the error information based upon the examination error information of the cohort to be checked and providing the error information for a user.


