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Objectives The diagnostic errors in a clinical laboratory are most effective nearby diagnostic decision limits. The errors basically arise from uncertainty of measurement. These may lead to misdiagnosis and contribute to an increase in the total amount of medical costs and of course, sometimes threatens patient's life. Nowadays, the importance of evaluating measurement uncertainty has gradually increased. Therefore, accreditation bodies have forced the clinical laboratories to calculate their rank of uncertainty measurement for each analyte properly, during the accreditation process. But, there is still no clear consensus on how to calculate it. With this study, we aimed to find out the ideal and appropriate calculating model for a clinical laboratory and applied this model to our existing data. Design & methods A six step uncertainty calculation model was used. This model was adapted to the specific requirements of clinical laboratories. For this purpose, 19 of the clinical biochemistry analytes were chosen and six step calculation model was applied to evaluate the uncertainty of measurement. Results and conclusion As shown in the table below, the calculated uncertainty values were compared with the CLIA recommendations for total allowable error (TEa) and “European biologic goals and calculated biologic allowable total errors”. These results show that The Core Biochemistry Laboratory of Marmara University Hospital produces test results that are within the appropriate limits of total error defined by CLIA and European recommendations. |
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