Introduction: Physicians increasingly rely on patients' laboratory test results for disease diagnosis, monitoring, treatment planning, and evaluation of therapeutic effectiveness.Quality control (QC) is the foundation of accuracy and precision in the analytical process and essential for detecting errors.The integration of QC strategies with six sigma methodology can enhance the accuracy and reliability of laboratory results.Six Sigma aimed to reduce production costs, minimize defects, and decrease process variability.Materials and methods: Quality control data were taken retrospectively from January 2025 to June 2025.Six Sigma metrics were calculated for 23 biochemical parameters tested on the Cobas Integra 400 plus system and the Cobas e411 system using the coefficient of variation (CV)%, Bias%, and total allowable error (TEa).Results: About 89% of the biochemical parameters fulfilled the Six Sigma criteria, while 11% required improvement.Discussion: The outcome of laboratory results depends on various factors such as equipment, reagents, trained personnel, and other variables.Detecting and eliminating errors increases the quality of testing processes and allows laboratories to determine their QC strategy.A sigma value of >6 indicates excellent quality, values between 3 and 6 represent satisfactory/acceptable quality, whereas values <3 are considered unreliable and require corrective action.Conclusion: Six Sigma serves as a valuable tool in the clinical laboratory, supporting error reduction, process optimization, and continuous improvement to ensure high standards of patient care and diagnostic reliability.
Vijayakumar et al. (Sun,) studied this question.