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Moving average quality control: principles, practical application and future perspectives.

Huub H van Rossum1

  • 1Department of Laboratory Medicine, The Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066CX, The Netherlands; and Huvaros, The Netherlands, Phone: +31-20-5122756, Fax: +31-20-5122799.

Clinical Chemistry and Laboratory Medicine
|October 12, 2018
PubMed
Summary
This summary is machine-generated.

Moving average quality control (MA QC) offers valuable analytical insights but faces challenges. This review clarifies MA QC concepts, optimization, practical use, and future directions to improve its laboratory application.

Keywords:
analytical quality controlaverage of normalmoving averagequality assurancequality control

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Area of Science:

  • Analytical Chemistry
  • Laboratory Medicine

Background:

  • Moving average quality control (MA QC) is a long-established analytical quality control instrument.
  • Its potential is hindered by complexity and a lack of evidence-based guidance.

Purpose of the Study:

  • To review and clarify the fundamental concepts of MA QC.
  • To discuss optimization methods and practical application challenges.
  • To explore future prospects for MA QC adoption.

Main Methods:

  • Comprehensive literature review.
  • Examination of online resources and web data.
  • Analysis of MA QC optimization techniques and operational issues.

Main Results:

  • Existing MA QC optimization methods have distinct pros and cons.
  • Simulation methods offer realistic error detection for MA QC.
  • Operational challenges in MA management were identified.

Conclusions:

  • New insights into MA QC characteristics and operational aspects can enhance its use.
  • Software developers can improve MA QC application through package upgrades.
  • Supporting online tools and improved guidance may increase MA QC acceptance and application in laboratories.