A novel delta check method for detecting laboratory errors

Investigating the variation of clinical measurements of patients over time is a common technique, known as delta check, for detecting laboratory errors. They are based on the expected biological variations and machine imprecision, where the latter varies for different concentrations of the analytes....

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Main Authors: Sourati, J., Erdogmus, D., Akcakaya, M., Kazmierczak, S. C., Leen, T. K.
Format: Conference Proceeding
Language:English
Subjects:
Calcium
Current measurement
Delta check
Kernel
lab error detection
Measurement uncertainty
Potassium
Signal processing algorithms
sufficient statistics
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Erdogmus, D.
Akcakaya, M.
Kazmierczak, S. C.
Leen, T. K.
description Investigating the variation of clinical measurements of patients over time is a common technique, known as delta check, for detecting laboratory errors. They are based on the expected biological variations and machine imprecision, where the latter varies for different concentrations of the analytes. Here, we present a novel delta check method in the form of composite thresholding, and provide its sufficient statistics by constructing the corresponding discriminant function, which enables us to use statistical and learning analysis tools. Using the scores obtained from such a discriminant function, we statistically study the performance of our algorithm on a labeled data set for the purpose of detecting lab errors.
doi_str_mv 10.1109/MLSP.2015.7324343
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subjects Calcium
Current measurement
Delta check
Kernel
lab error detection
Measurement uncertainty
Potassium
Signal processing algorithms
sufficient statistics
title A novel delta check method for detecting laboratory errors
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