Over several recent decades, statistical quality control (QC) procedures to control the quality of analytical performance in clinical laboratory have emerged and improved. Of the first steps in improving QC planning happened with the replacement of software in the QC interpretation and thereby getting the operators off this duty so that no longer it was necessary to use 1:2s rule as a warning rule and this rule was removed from Westgard Multirule procedure. Another step was individualizing QC based on the performance's quality (expressed as Sigma metric). This approach resulted in that no longer it was recommended to use all the Westgard rules for all the performances but aligned with the increase of the performance's quality (Sigma metric), less rules and less control results are needed. Despite these improvements, some laboratories are still using excessive rules and excessive number of control assays that leads only to the increase of false rejection. To get rid of this wrong approach, it's needed the laboratorians be familiar with QC planning basics as well overcome the unnecessary fear of reducing excessive.
