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Basic statistics for quality control in the clinical laboratory.

G W Williams, M A Schork

    Critical Reviews in Clinical Laboratory Sciences
    |January 1, 1982
    PubMed
    Summary
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    Implementing rigorous quality control (QC) in laboratory methods ensures consistent analytical performance. Understanding QC procedures is crucial for achieving a known and specified level of testing quality.

    Area of Science:

    • Clinical Chemistry
    • Laboratory Medicine
    • Analytical Science

    Background:

    • Laboratory method selection and evaluation are critical for analytical service quality.
    • Current quality control (QC) practices often result in arbitrary and unknown quality levels.
    • Assurance of analytical method performance requires monitoring beyond initial testing.

    Purpose of the Study:

    • To emphasize the necessity of robust quality control procedures in routine laboratory analysis.
    • To highlight the importance of understanding the performance characteristics of QC procedures.
    • To advocate for designing QC systems that meet stated error specifications for reliable medical test results.

    Main Methods:

    • Systematic selection and evaluation of analytical laboratory methods.

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  • Implementation of suitable quality control procedures for routine analysis.
  • Statistical monitoring of analytical methods to ensure consistent performance.

    • Main Results:

    • A systematic approach improves analytical service quality.
    • Understanding QC performance characteristics is key to achieving known quality levels.
    • Designing QC systems with specific error detection capabilities ensures medical test result validity.

    Conclusions:

    • A high-caliber quality control system results from objective method evaluation and rigorous statistical monitoring.
    • Achieving a specified level of quality necessitates designing QC systems to meet stated error specifications.
    • Effective QC ensures the medical usefulness of laboratory test results by detecting analytical errors.