Moving Average for Continuous Quality Control: Time to Move to Implementation in Daily Practice?

(1) described an MA optimization method that used the average number of patient samples affected until error detection (ANPed), and we reported the use of bias detection curves and MA validation charts for the selection of optimal MA settings (4). By applying new MA optimization methods, both Ng et al. and our group were able to implement MA for continuous analytical QC in daily practice (1, 5). [...]it is time to make these new MA optimization methods available to clinical laboratories, in an understandable and easy-touse format. 4. van Rossum HH, Kemperman H. Optimization and validation of moving average quality control procedures using bias detection curves and moving averagevalidation charts.