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Optimizing frequency and number of controls for automatic multichannel analyzers

A Neubauer1, C Wolter, C Falkner

  • 1Institut für Klinische Chemie und Pathobiochemie der Technischen Universität München, Klinikum rechts der Isar, Germany. A_S_Neubauer@hotmail.com

Clinical Chemistry
|May 20, 1998
PubMed
Summary

Optimizing control charts for automatic multichannel analyzers is key. This study suggests controls every 30-100 samples, with two controls per run, balancing cost-efficiency and statistical performance.

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Quality Control

Background:

  • Effective quality control is crucial for automatic multichannel analyzers.
  • Sampling strategy significantly impacts control chart effectiveness and cost-efficiency.
  • Existing cost-models have limitations in practical laboratory settings.

Purpose of the Study:

  • To develop an optimized control strategy for automatic multichannel analyzers.
  • To determine the ideal frequency of quality control samples.
  • To balance cost-efficiency with adequate statistical performance.

Main Methods:

  • Field study on a Hitachi/BM 747 analyzer.
  • Expert opinion elicitation.
  • Computer simulations using cost-models.

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  • Literature review and analysis of existing models.

    • Main Results:

    • Industrial cost-models show limitations but offer consistent solutions.
    • Adjusted control strategy accounts for theoretical model inadequacies.
    • Optimal control frequency can range from every 30 to 100 samples.
    • A 3-SD Shewhart chart typically needs two controls per run for statistical adequacy.

    Conclusions:

    • A cost-efficient and statistically sound control strategy is achievable for multichannel analyzers.
    • The recommended strategy allows for fewer controls than traditionally implemented.
    • This approach enhances operational effectiveness in clinical laboratories.