Abstract
AbstractThe importance of reporting quality patient results by clinical laboratories cannot be overstated. Maintaining and improving the quality of laboratory results is a never‐ending process, and the thoughtful application of statistical quality control techniques is the key to this continuous pursuit. Using statistical methods, laboratories can ensure that their patient results are reliable and can continue to improve their performance.It is clear that the method for monitoring quality control in the clinical laboratory will have a direct impact on the results reported by the laboratory. This article reviews the historical development of clinical quality control and details methods traditionally applied in the field. Recently proposed approaches are identified and their statistical performance is evaluated. Quality control methods involving clinical significance are also described, and economic modeling applicable to clinical quality control is presented.
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