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A technique for the objective assessment of routine analytical methods in clinical laboratories using pattern
Annals of Clinical Biochemistry
|July 1, 1981
Summary
This study introduces a new method for objectively assessing clinical laboratory analytical method reliability using pattern recognition. The technique distinguishes between methods based on accuracy, precision, and error susceptibility, enabling objective quality evaluation.
Area of Science:
- Clinical Laboratory Science
- Analytical Chemistry
- Biostatistics
Background:
- Routine analytical methods in clinical laboratories require objective reliability assessments.
- Existing quality control programs provide data on method performance.
- Assessing method reliability is crucial for accurate patient diagnostics.
Purpose of the Study:
- To present a novel technique for objectively evaluating the reliability of routine analytical methods in clinical laboratories.
- To utilize data from external/internal quality control programs for method assessment.
- To establish a framework for distinguishing between different analytical methods based on performance characteristics.
Main Methods:
- Describing method performance using four features: accuracy, day-to-day precision, susceptibility to erroneous results, and susceptibility to systematic laboratory errors.
- Representing method performance as 'patterns' in a four-dimensional space.
- Applying pattern recognition techniques to cluster these patterns from multiple trials.
- Using a weighting procedure to determine the importance of each feature for cluster discrimination.
Main Results:
- Six trials generated multiple 'patterns' per analytical method, which were clustered in the four-dimensional space.
- Pattern recognition successfully identified clusters corresponding to the same or comparable analytical methods.
- A weighting procedure highlighted that different features are important for discriminating between methods for various blood components.
- The mean feature values within a cluster objectively define the quality of that cluster and, by extension, the analytical method.
Conclusions:
- The presented technique objectively assesses the quality and reliability of analytical methods used in clinical laboratories.
- Analytical methods can be distinguished from each other based on their performance patterns.
- The findings provide a basis for tentative conclusions regarding the validity of specific analytical methods.