State-of-the-art model for derivation of analytical performance specifications: how to define the highest level of analytical performance technically achievable
Author:
Affiliation:
1. Clinical Pathology Unit , ASST Fatebenefratelli-Sacco , Milan , Italy
2. Department of Laboratory Medicine , Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun , Bydgoszcz , Poland
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.degruyter.com/document/doi/10.1515/cclm-2023-1286/pdf
Reference33 articles.
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2. Braga, F, Panteghini, M. The utility of measurement uncertainty in medical laboratories. Clin Chem Lab Med 2020;58:1407–13. https://doi.org/10.1515/cclm-2019-1336.
3. Infusino, I, Panteghini, M. Measurement uncertainty: friend or foe? Clin Biochem 2018;57:3–6. https://doi.org/10.1016/j.clinbiochem.2018.01.025.
4. ISO/TS 20914:2019. Medical laboratories – practical guidance for the estimation of measurement uncertainty, 1st ed. Geneva, Switzerland: ISO; 2019.
5. Panteghini, M. Implementation of standardization in clinical practice: not always an easy task. Clin Chem Lab Med 2012;50:1237–41. https://doi.org/10.1515/cclm.2011.791.
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