INITIAL IMPLEMENTATION OF A PATIENT-BASED REAL-TIME QUALITY CONTROL (PBRTQC) SYSTEM FOR BASIC HEMATOLOGY PARAMETERS AT LE VAN THINH HOSPITAL
Main Article Content
Abstract
Objectives: To establish control limits for hematology parameters (WBC, RBC, HGB, PLT, HCT) and compare the performance of various moving average models (MA20, MA50, MA100, MA200) to optimize the patient-based real-time quality control (PBRTQC) system at Le Van Thinh Hospital.
Methods: A retrospective study was conducted using 12,600 test results of five hematological parameters collected from April to June 2025. Data were processed using the Winsorization technique (5th and 95th percentiles) to reduce the influence of extreme biological outliers. Moving average algorithms with four block sizes (N = 20, 50, 100, and 200) were applied to evaluate quality control performance based on alert frequency.
Results: The frequency of alerts was inversely proportional to the block size. The MA20 model generated the highest number of alerts (129 for HGB and 124 for HCT), whereas the MA200 model produced the fewest alerts (23 for PLT and 35 for HGB). MA50 and MA100 models demonstrated the optimal balance between error detection sensitivity and the minimization of false alerts.
Conclusion: The initial implementation of the PBRTQC system enabled continuous monitoring, successfully addressing the inherent limitations of conventional internal quality control. Combining the Winsorization technique with MA50 or MA100 models is an effective approach for the early detection of analytical errors, enhancing the reliability of laboratory test results while optimizing operational costs.
Keywords
PBRTQC, Moving Average, Hematology, Quality Control
Article Details
References
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