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Related Experiment Videos

Design of internal quality control for reference value studies.

James O Westgard1

  • 1Department of Pathology and Laboratory Medicine, University of Wisconsin Medical School, Madison, WI 53706, USA. jowestgard@med.wisc.edu

Clinical Chemistry and Laboratory Medicine
|August 26, 2004
PubMed
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Internal quality control (IQC) methods for reference value studies can be improved by calculating critical systematic error. This metric guides the selection of IQC procedures to ensure desired quality goals are met.

Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Quality Control

Background:

  • Internal quality control (IQC) is essential for achieving quality goals in reference value studies.
  • Quality goals are typically defined by allowable limits of error, such as total error or bias.
  • Allowable bias may be a more suitable goal for reference value studies.

Purpose of the Study:

  • To introduce a method for calculating critical systematic error for IQC procedure selection.
  • To demonstrate the utility of a critical-error graph as a graphical tool for IQC design.
  • To provide guidance for selecting or designing IQC procedures based on error metrics.

Main Methods:

  • Calculation of critical systematic error based on allowable total error or allowable bias goals.

Related Experiment Videos

  • Utilizing a critical-error graph to overlay calculated critical systematic error onto power curves.
  • Evaluating different control rules and numbers of control measurements.

    • Main Results:

    • A metric for critical systematic error can be calculated from quality goals.
    • The critical-error graph facilitates the selection of appropriate IQC procedures.
    • Examples illustrate the calculation and application of critical systematic error.

    Conclusions:

    • Calculating critical systematic error is a valuable approach for IQC in reference value studies.
    • The critical-error graph aids in optimizing IQC procedure design.
    • This methodology helps ensure that quality goals for reference values are met effectively.