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Autoverification-based algorithms to detect preanalytical errors: Two examples
Clinical Biochemistry, 2023The preanalytical phase of testing accounts for the majority of the errors. Software-based quality rules, such as autoverification, can assist in preanalytical error detection; therefore, preventing erroneous results from being reported. Two autoverification rules, turbidity/lipemia, and pseudohypoglycemia/pseudohyperkalemia alarms, are highlighted ...
Wei, Ruhan +2 more
exaly +3 more sources
Re-engineering laboratory diagnostics for preventing preanalytical errors
Clinical Biochemistry, 2016Re-engineering laboratory diagnostics for preventing preanalytical ...
Giuseppe Lippi +2 more
exaly +4 more sources
The prevalence of preanalytical errors in a Croatian ISO 15189 accredited laboratory
Clinical Chemistry and Laboratory Medicine, 2010Abstract Background: The preanalytical phase is the most common source of laboratory errors. The goal of this descriptive study was to analyze the prevalence and type of preanalytical errors in relation to the site of sample collection (inpatient vs.
Nada Vrkić +2 more
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Reduction of preanalytical errors in laboratory by establishment and application of training system
Journal of Evidence-Based Medicine, 2014AbstractObjectivesErrors in preanalytical phase occupied for almost half of total errors in clinical laboratory, and the causes are related to medical staff's quality awareness and behaviors. In order to reduce the preanalytical errors in our hospital, we established and applied a training system to improve the situation.MethodsThe disqualified sample ...
Hong, Ying Li +6 more
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The cost of poor blood specimen quality and errors in preanalytical processes
Clinical Biochemistry, 2013The increase in the prevalence of medical errors represents a disturbing trend; hospital-based errors are the eighth leading cause of death in the United States. For the clinical laboratory, errors that occur in the preanalytical phase of testing may account for up to 75% of total laboratory errors; 26% of these may have detrimental effects on patient ...
exaly +3 more sources
Innovative software for recording preanalytical errors in accord with the IFCC quality indicators
Clinical Chemistry and Laboratory Medicine, 2017 Innovative software for recording preanalytical errors in accord with the IFCC quality ...
Giuseppe Lippi +2 more
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