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Integration of data derived from biological variation into the quality management system.
- Source :
-
Clinica chimica acta; international journal of clinical chemistry [Clin Chim Acta] 2004 Aug 02; Vol. 346 (1), pp. 13-8. - Publication Year :
- 2004
-
Abstract
- Background: [corrected] Data on within- and between-subject biological variation are available for around 250 analytes commonly used in medical laboratories.<br />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.<br />Conclusion: The biological variation is a pillar for managing quality in laboratory medicine.
Details
- Language :
- English
- ISSN :
- 0009-8981
- Volume :
- 346
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Clinica chimica acta; international journal of clinical chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 15234631
- Full Text :
- https://doi.org/10.1016/j.cccn.2004.03.022