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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Author: search.filters.author.Inal, Berrin Bercik

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    An important source of preanalytical error in medical laboratories: centrifugation
    (WALTER DE GRUYTER GMBH, 2021-01-01) Sonmez, Cigdem; Gumus, Alper; Senes, Mehmet; Aykal, Guzin; Taneli, Fatma; Aksungar, Fehime; Avci, Esin; Coskun, Cihan; Cinaroglu, Ipek; Colak, Ayfer; Eker, Pinar; Gucel, Funda; Hakligor, Aylin; Inal, Berrin Bercik; Orhan, Bagnu; Yilmaz, Canan
    Centrifugation separates particles within the specimen according to their shape, dimensions, and density and basically can be defined as a separation method. The centrifuge is an essential device in medical laboratories to prepare the serum, plasma, and urine samples for analysis. It is basically an electric device composed of the stationary (motor) and the motile (rotor) part. The centrifugation depends on two main variables: relative centrifugal force (RCF) and centrifugation time. The physical impact separating the specimen into its components in the centrifuge known as RCF is expressed as the multiples of gravitational acceleration (xg). RPM, defined as the number of rotations of the centrifuge perminute, shows the speed of the centrifuge. RCF value can be calculated by using RPM, and the centrifuge radius. Because models and sizes of centrifuges vary considerably, the use of gravity (g) forces instead of RPM is suggested. The centrifuges can be classified according to their usage, speed, technical specifications, and rotor type. An accurate and precise centrifugation process is essential to prevent errors in the preanalytical phase. The purpose of this document is to ensure the standardization of a good, precise protocol for the centrifugation process among the medical laboratories.
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    Measurement uncertainty in laboratory medicine: the bridge between medical and industrial metrology
    (WALTER DE GRUYTER GMBH, 2019-01-01) Coskun, Abdurrahman; Inal, Berrin Bercik; Serdar, Muhittin
    Uncertainty is an inseparable part of all types of measurements, that is, in metrology a measurement without uncertainty is not possible. Calculation of uncertainty increases the awareness of the certainty of measurement results. Reporting measurement uncertainty is mandatory in almost all industrial sectors but not in laboratory medicine. Test results without analytical uncertainty increases the diagnostic uncertainty, causing errors that could seriously affect patients health. To improve diagnostic certainty, we should calculate and upon request report measurement uncertainty to laboratory users (ISO 15189). In this mini-review, we summarized the theoretical perspective of uncertainty concept, its relation to Six Sigma and finally compared it with Total Error Method.