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Related Experiment Videos

Laboratory quality control: using patient data to assess analytical performance.

Steven C Kazmierczak1

  • 1Department of Pathology, Oregon Health and Science University, Portland 97239, USA. kazmierc@ohsu.edu

Clinical Chemistry and Laboratory Medicine
|June 19, 2003
PubMed
Summary

Statistical quality control ensures reliable laboratory test results. This review examines modern methods, including Six Sigma and patient-derived controls, to identify and reduce laboratory errors.

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Area of Science:

  • Laboratory medicine
  • Clinical chemistry
  • Medical diagnostics

Background:

  • Statistical quality control (SQC) has been integral to laboratory medicine for ~50 years.
  • Traditional SQC rules have remained largely unchanged, necessitating updated approaches.
  • Laboratory error identification is critical for patient safety and diagnostic accuracy.

Purpose of the Study:

  • To review the evolution and applications of laboratory quality control procedures.
  • To explore modern techniques for assessing laboratory performance and identifying errors.
  • To highlight advancements driven by computational power in laboratory quality management.

Main Methods:

  • Review of established and emerging statistical quality control methodologies.
  • Exploration of computer-assisted quality assessment tools.

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  • Discussion of patient-derived quality control procedures and algorithms.

    • Main Results:

    • Traditional SQC rules are foundational but may require optimization.
    • Advanced methods like Six Sigma offer enhanced quality assessment.
    • Patient-derived controls (e.g., Bull's algorithm, delta checking, average of normals) provide dynamic performance monitoring.

    Conclusions:

    • Modern laboratory quality control leverages computational advancements for improved error detection.
    • A variety of sophisticated techniques, including Six Sigma and patient-derived methods, enhance the reliability of laboratory test results.
    • Continuous evaluation and optimization of quality control strategies are essential in laboratory medicine.