Biometric quality control process
First Claim
1. A computer-implemented method of implementing a quality control testing strategy based on patient test data, comprising:
- acquiring patient test data from one or more laboratory instruments for a specific analyte, said patient test data including a plurality of weeks worth of data;
calculating time-interval baseline statistics for each of a plurality of specific recurring time intervals in the patient test data;
normalizing the patient test data using the time-interval baseline statistics;
applying a EWMA rule to the normalized patient data; and
generating a system alert signal if the normalized patient data exceeds the error threshold of the EWMA rule.
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Abstract
Systems and methods configured to guide and manage laboratory analytical process control operations. A Biometric quality control (QC) process application is configured to monitor bias and imprecision for each test, characterize patient population data distributions and compare, contrast, and correlate changes in patient data distributions to any change in QC data populations. The Biometric QC process monitors the analytical process using data collected from repetitive testing of quality control materials and patient data (test results). The QC process identifies the optimal combination of, for example, frequency of QC testing, number of QCs tested, and QC rules applied in order to minimize the expected number of unacceptable patient results produced due to any out-of-control error condition that might occur.
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Citations
8 Claims
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1. A computer-implemented method of implementing a quality control testing strategy based on patient test data, comprising:
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acquiring patient test data from one or more laboratory instruments for a specific analyte, said patient test data including a plurality of weeks worth of data; calculating time-interval baseline statistics for each of a plurality of specific recurring time intervals in the patient test data; normalizing the patient test data using the time-interval baseline statistics;
applying a EWMA rule to the normalized patient data; andgenerating a system alert signal if the normalized patient data exceeds the error threshold of the EWMA rule. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification