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Reliability and Quality Control of Automated Diagnostic Analyzers

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Advances in Reliability and System Engineering

Part of the book series: Management and Industrial Engineering ((MINEN))

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Abstract

The purpose of this work is to show how statistical quality control methods contribute to the quality control of diagnostic tests in clinical laboratories. This chapter presents the difficulties as well as the advantages of the implementation of quality control techniques in the daily routine of laboratories together with the disadvantages of non-application. It emphasizes the role of good and uninterrupted operation of laboratory equipment to ensure quality and how to reduce the effects of time and its use with a comprehensive maintenance program. It also documents the role of statistical quality control in early detection of a malfunction of the equipment and thereby in avoiding an incorrect result from the reference laboratory. Finally, it proposes ways to improve the reliability and maintainability of the equipment and highlights the contribution of statistical quality control to clinical laboratory equipment.

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Author information

Authors and Affiliations

  1. Hellenic Open University, Patras, Greece

    Ilias Stefanou

  2. University of the Aegean, Samos, Greece

    Alex Karagrigoriou

  3. National Technical University of Athens, Athens, Greece

    Ilia Vonta

Authors
  1. Ilias Stefanou
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  2. Alex Karagrigoriou
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  3. Ilia Vonta
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Corresponding author

Correspondence to Ilia Vonta .

Editor information

Editors and Affiliations

  1. Dept of Mathematics, Clement Town, Graphic Era University Dept of Mathematics, Clement Town, Dehradun, India

    Mangey Ram

  2. Department of Mechanical Engineering, University of Aveiro Department of Mechanical Engineering, Aveiro, Portugal

    J. Paulo Davim

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Stefanou, I., Karagrigoriou, A., Vonta, I. (2017). Reliability and Quality Control of Automated Diagnostic Analyzers. In: Ram, M., Davim, J. (eds) Advances in Reliability and System Engineering. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-48875-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-48875-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48874-5

  • Online ISBN: 978-3-319-48875-2

  • eBook Packages: EngineeringEngineering (R0)

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