Clinical Analyzer QC Range Harmonization Across Multiple Instruments
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Solution Overview
Problem
Existing quality control (QC) systems fail to effectively design QC ranges for clinical diagnostic instruments testing the same analyte across multiple instruments, leading to increased false rejections and unsatisfactory results due to the aggregation of individual instrument means and standard deviations without accounting for instrument differences.
Innovation Solution
A system and method for calculating a group mean and group standard deviation (SD) across multiple instruments, allocating false rejections proportionally to each instrument's performance, ensuring the average false rejection rate meets a desired criteria, and using these values for QC ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual instrument means and standard deviations are used for QC ranges, then each instrument can maintain its own QC parameters, but the false rejection rate increases due to aggregation of results without accounting for instrument differences
Solution Approach 1:
The patent merges individual instrument QC parameters into a unified group QC range by calculating the mean and standard deviation across all instruments. This combining approach allows multiple instruments to share common QC parameters, reducing the false rejection rate while simplifying operation compared to managing separate QC ranges for each instrument.
Solution Approach 2:
The patent creates a universal QC range that applies to all instruments in the group, making the QC system multi-functional across different instruments. This universal approach eliminates the need for instrument-specific QC ranges, thereby reducing false rejections while maintaining ease of operation through a single standardized QC procedure.
2Productivity
If multiple instruments test the same analyte, then the volume of patient specimens can be handled, but the aggregation of results leads to increased false rejections due to unaccounted instrument differences
Solution Approach 1:
The patent combines multiple instruments into a unified QC framework by calculating group mean and standard deviation across all instruments. This merging allows the system to maintain high productivity through multi-instrument testing while reducing false rejections by accounting for instrument differences in the pooled QC data.
Solution Approach 2:
The patent changes the QC parameters from individual instrument-specific values to group-level parameters (mean and standard deviation across all instruments). This parameter transformation allows the system to handle high volumes of specimens across multiple instruments while maintaining reliability by using aggregated QC data that reflects overall system performance.
3Measurement precision
If individual instrument QC targets and ranges are used, then each instrument's performance can be monitored, but the overall false rejection rate increases due to lack of harmonization across instruments
Solution Approach 1:
The patent merges individual instrument performance data into a unified QC framework, calculating group mean and standard deviation across all instruments. This approach maintains measurement precision by still tracking individual instrument results while reducing false rejections through harmonized QC ranges that account for instrument differences.
Solution Approach 2:
The patent implements feedback by continuously monitoring individual instrument performance against the group QC range and using this information to refine the QC parameters. This feedback mechanism allows the system to maintain precise measurement monitoring while reducing false rejections through adaptive QC range adjustments based on actual instrument performance data.
Data Source
AI summary
Systems and methods for performing testing of a single analyte on a group of multiple clinical diagnostic analyzers, or a single clinical diagnostic analyzer having multiple analytic units, or combinations thereof, are disclosed. A mean and SD for each individual instrument are input to at least one of the instruments along with a QC rule to be used, the probability of false rejection function for the QC rule, and a desired false rejection rate. A group mean and a group SD are calculated to satisfy the desired false rejection rate and QC rule and loaded into each individual instrument for use in testing the single analyte at each individual instrument.