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Integration of data derived from biological variation into the quality management system.
Ricós, Carmen; Alvarez, Virtudes; Cava, Fernando; García-Lario, José Vicene; Hernández, Amparo; Jiménez, Carlos Víctor; Minchinela, Joana; Perich, Carmen; Simón, Margarita.
Afiliação
  • Ricós C; Analytical Quality Commission, Spanish Society of Clinical Biochemistry And Molecular Pathology, Spain. cricos@hg.vhebron.es
Clin Chim Acta ; 346(1): 13-8, 2004 Aug 02.
Article em En | MEDLINE | ID: mdl-15234631
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.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coleta de Dados / Sistemas de Informação em Laboratório Clínico / Técnicas de Laboratório Clínico Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2004 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Coleta de Dados / Sistemas de Informação em Laboratório Clínico / Técnicas de Laboratório Clínico Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2004 Tipo de documento: Article