Literature DB >> 15234631

Integration of data derived from biological variation into the quality management system.

Carmen Ricós1, Virtudes Alvarez, Fernando Cava, José Vicene García-Lario, Amparo Hernández, Carlos Víctor Jiménez, Joana Minchinela, Carmen Perich, Margarita Simón.   

Abstract

BACKGROUND: [corrected] Data on within- and between-subject biological variation are available for around 250 analytes commonly used in medical laboratories.
METHODS: Integration of this data into the quality system occurs at all three levels of laboratory activity: (a) Preanalytic process: biological variation provides the basis for selecting the most appropriate specimen for analysis, for defining sample stability and for deciding suitable timing between samplings; (b) analytic process: biological variation-derived goals are fundamental for designing internal quality control procedures, and for evaluating laboratory performance; and (c) postanalytic process: delta checks based on within-subject biological variation values are used for validating results and for interpreting serial results from a patient.
CONCLUSION: The biological variation is a pillar for managing quality in laboratory medicine.

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Year:  2004        PMID: 15234631     DOI: 10.1016/j.cccn.2004.03.022

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

Review 1.  Biological variation: Understanding why it is so important?

Authors:  Tony Badrick
Journal:  Pract Lab Med       Date:  2021-01-04

2.  Early increase in serum-COMP is associated with joint damage progression over the first five years in patients with rheumatoid arthritis.

Authors:  Maria L E Andersson; Björn Svensson; Ingemar F Petersson; Ingiäld Hafström; Kristina Albertsson; Kristina Forslind; Dick Heinegård; Tore Saxne
Journal:  BMC Musculoskelet Disord       Date:  2013-08-02       Impact factor: 2.362

  2 in total

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