Multicenter application and evaluation of automated quality control systems on fully automated assembly lines

Area of Science:

• Clinical Chemistry
• Laboratory Medicine
• Quality Management

Background:

• Laboratory quality control (QC) is essential for accurate medical test results.
• Manual QC is time-consuming and can be prone to variability.
• Automated QC offers a potential solution for improving efficiency and consistency.

Purpose of the Study:

• To evaluate the applicability and performance of automated QC on fully automated laboratory lines.
• To compare automated QC with manual QC across various biochemical and immunological parameters.
• To assess the impact of automated QC on laboratory efficiency and result homogeneity.

Main Methods:

• A multi-center study involving 13 hospitals in China.
• Assessed 12 biochemical and 11 immunological parameters.
• Compared automated QC with manual QC for stability and out-of-control rates over six months.

Main Results:

• Automated QC reduced processing time from ~30 min to ~10 min.
• No significant difference in sigma (σ) values between automated and manual QC.
• Automated QC showed lower out-of-control rates (2.95% vs. 3.77% for biochemical; 1.54% vs. 3.10% for immunoassay).
• Good consistency observed between automated and manual QC results, with Bias% < 1/4 TEa.

Conclusions:

• Automated QC is consistent with manual QC and meets laboratory quality requirements.
• Standardized automated QC procedures optimize internal QC processes and reduce out-of-control rates.
• Automated QC significantly promotes the homogeneity of medical test results.