Tools, Technologies and Training for Healthcare Laboratories

Dietmar Stockl, QC Reality Check, Part Four

Part three of an ongoing series on Internal Quality Control (IQC) by Dietmar Stockl. Dr. Stockl looks again at QC data examples from the real world of the laboratory, this time looking at the case when a laboratory purposes uses the wrong standard deviation.

Dietmar Stockl, QC Reality Check, Part Three

Part three of an ongoing series on Internal Quality Control (IQC) by Dietmar Stockl. Dr. Stockl looks again at QC data examples from the real world of the laboratory.

Interpretation of Differences in Serial Troponin Results

Despite years of intensive use and the recent advent of “high sensitivity” assays, fundamental questions about cardiac Troponin methods remain. Is precision of 10% CV required at the upper 99th percentile value of the reference population? Are methods with CV > 20% unacceptable? Is a change of 20% in an individual significant? Callum G Fraser, the internationally respected expert on biological variation, provides a logical technique for the interpretation of serial test results.

Dietmar Stockl, QC Reality Check, Parts One and Two

Dietmar Stockl, colleague, friend, and expert in statistics, starts a series on looking at QC data examples from the real world of the laboratory. Sometimes what happens in reality is different than what's predicted in theory.

Upgrading Quality Control in Molecular Diagnostics

Are molecular diagnostics immune from quality problems? Do they need Quality Control? In this new field of testing, methods and manufacturers have been asserting their "difference" from traditional testing practices, while moving slowly on developing any new and different quality practices. Guest author Dr. Clark Rundell explains that "Traditional" QC protocols can be adopted to address gaps in quality assurance for molecular testing. [Reprint from IVD Technology magazine]

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