Comparison of EWMA, MA, and MQ Under a Unified PBRTQC Framework for Thyroid and Coagulation Tests.

ABSTRACT: Background: Patient-based real-time quality control (PBRTQC) enables continuous analytical monitoring using routine patient results; however, the performance of classical statistical process control (SPC) algorithms varies across analytes, and standardized evaluation and optimization strategies remain limited. To address this gap, this study compared three SPC algorithms-moving average (MA), moving quantile (MQ), and exponentially weighted moving average (EWMA)-within a unified preprocessing framework and proposed a composite performance metric for parameter optimization. Methods: Routine patient results from six laboratory analytes were analyzed using a standardized "transform-truncate-alarm" PBRTQC workflow. Simulated systematic biases were introduced for model training, an

SUBMITTER: Zhaxi B 

PROVIDER: S-EPMC12839619 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature