AI Summary & Key Takeaways
AI InsightAccording tothe results of our study, our laboratory performance is good or first class.
📌 3 Key Takeaways
Abstract
Purpose: Clinical laboratories are responsible for producing reliable, reproducible and accurate test results. Should establish quality in theirtest analysis and evaluate process performance. Six sigma is a quality management strategy that evaluation of processes. The aim of our studyis to evaluate the analytical process performance of routine tests in our laboratory with six sigma method.Methods: Internal quality control (IQC) data of routine tests in our laboratory were obtained retrospectively. Mean, standard deviation andcoefficient of variation (CV) values of the IQC data were calculated. Process sigma values were calculated using the formula “Total AllowableError (TEa)%-Bias% /CV% “. TEa values were determined according to CLIA’88. Sigma value ≤3 low quality, between 3 and 6 good quality and≥6 was recognized as world class quality.Results: The sigma levels of all the tests we evaluated were >3. Sigma levels of albumin, creatinine, LDL, urea, chloride, total cholesterol, HDL,sodium for IQC 1; albumin, urea, UIBC, chloride, creatinine, potassium, sodium and direct bilirubin for IQC2 were between 3–6. The sigmalevels of ALP, ALT, AST, CK, CKMB, iron, UIBC, phosphorus, GGT, glucose, calcium, LDH, magnesium, potassium, total protein, triglyceride, uricacid, amylase, lipase, direct bilirubin, total bilirubin, CRP for IQC 1; ALP, ALT, AST, CK, CK-MB, iron, phosphorus, GGT, glucose, calcium, totalcholesterol, HDL, LDL, LDH, magnesium, total protein, triglyceride, uric acid, amylase, lipase, total bilirubin, CRP tests for IQC 2 were ≥6.Conclusion: Six sigma methodology is an effective method for evaluating the analytical process performance of the laboratory. According tothe results of our study, our laboratory performance is good or first class.