Algorithm of the intralaboratory quality control for hematology analyzers

Vershinina M.G.

Tsentral'naia klinicheskaia bol'nitsa s poliklinikoĭ Upravleniia delami Prezidenta RF, Moskva

Steriopolo N.A.

FGBU «Klinicheskaja bol'nitsa» Upravlenija delami Prezidenta RF, Moskva, Rossija

Ibragimova V.Yu.

Central State Medical Academy Department for Presidential Affairs, Moscow

Algorithm of the intralaboratory quality control for hematology analyzers

Authors:

Vershinina M.G., Steriopolo N.A., Ibragimova V.Yu.

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Journal: Laboratory Service. 2019;8(3): 40‑43

DOI: 10.17116/labs2019803140

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To cite this article:

Vershinina MG, Steriopolo NA, Ibragimova VYu, Ibragimova VYu. Algorithm of the intralaboratory quality control for hematology analyzers. Laboratory Service. 2019;8(3):40‑43. (In Russ.)
https://doi.org/10.17116/labs2019803140

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Abstract The algorithm of intralaboratory quality control for hematological studies is presented, which combines the use of commercial control blood and data on the daily average results of patients.

Keywords:

quality control

hematological studies

quality control

moving averages

hematological studies

control charts

moving averages

control charts

quality control

hematological studies

quality control

moving averages

hematological studies

control charts

moving averages

control charts

Authors:

Vershinina M.G.

Tsentral'naia klinicheskaia bol'nitsa s poliklinikoĭ Upravleniia delami Prezidenta RF, Moskva

Steriopolo N.A.

FGBU «Klinicheskaja bol'nitsa» Upravlenija delami Prezidenta RF, Moskva, Rossija

Ibragimova V.Yu.

Central State Medical Academy Department for Presidential Affairs, Moscow

List of references:

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Kazmierczak SC. Laboratory quality control: Using Patient Data to Assess Analytical Performance. Clin Chem Lab Med. 2003;41(5):617-627. https://doi.org/10.1515/CCLM.2003.093
van Rossum HH. Moving average quality control: principles, practical application and future perspectives. Clin Chem Lab Med. 2019;57(6):773-782. https://doi.org/10.1515/cclm-2018-0795
van Rossum HH, Kemperman H. Optimization and validation of moving average quality control procedures using bias detection curves and moving average validation charts. Clin Chem Lab Med. 2017;55:218-224. https://doi.org/10.1515/cclm-2016-0270
Desirable Biological Variation Database Specifications [electronic resource]. Accessed 13.06.19. https://www.westgard.com/biodatabase1.htm
GOST R 53133.1-2008. Clinical laboratory technologies. Quality control of clinical laboratory tests. Part 1. Limits of allowable errors of the results of the analyte measurements in clinical-diagnostics laboratories. M.: Standartinform; 2009. (In Russ.)

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