Importance of implementing an analytical quality control system in a core laboratory

Area of Science:

• Clinical Laboratory Science
• Analytical Chemistry
• Quality Management

Background:

• Clinical laboratories provide essential data for disease screening, diagnosis, and monitoring.
• Ensuring the quality of both extra-analytical and analytical processes is paramount.
• Internal and external quality control systems are vital for detecting errors and ensuring result reliability.

Purpose of the Study:

• To describe the design and implementation of an internal quality control protocol.
• To establish periodical assessment intervals (6 months) for quality control.
• To ensure compliance with pre-determined specifications, such as the Stockholm Consensus.

Main Methods:

• Evaluation of 40 biochemical and 15 immunochemical methods using three control materials.
• Development of a standard operating procedure for internal quality control.
• Calculation of analytical process error, setting quality specifications, and verifying compliance.

Main Results:

• Quality control data statistically analyzed for means, standard deviations, and coefficients of variation.
• Systematic, random, and total errors were calculated.
• Quality specifications were fixed, operational rules determined, and data compared via external quality assurance programs.

Conclusions:

• Analytical quality control systems require a highly structured design to detect process-compromising errors.
• Laboratories must regularly review quality indicators (systematic, random, total error).
• Corrective actions should be implemented if pre-determined specifications are not met to ensure result reliability.