Thoughts on quality-control systems: a laboratorian's perspective

Area of Science:

• Clinical Chemistry
• Laboratory Medicine
• Medical Diagnostics

Background:

• Current prospective quality-control systems rely on medically relevant, analyte-specific control limits.
• Traditional laboratory limits may lead to false rejections or missed errors.
• Optimizing quality control is crucial for accurate and timely diagnostic reporting.

Purpose of the Study:

• To evaluate the benefits of analyte-specific quality control limits.
• To describe patient data quality-control algorithms.
• To present a systematic approach for converting to efficient quality control procedures.

Main Methods:

• Utilizing analyte-specific quality control limits, both broader and narrower than general laboratory limits.
• Describing patient data quality-control algorithms.
• Suggesting systematic retrospective review of proficiency data.
• Presenting an approach for converting to analyte-specific quality control.

Main Results:

• Broader analyte-specific limits decrease false rejections, unnecessary reanalyses, and reporting delays.
• Narrower analyte-specific limits increase error detection but risk identifying uncontrollable errors.
• The study outlines methods for quality control algorithm implementation and data review.

Conclusions:

• Analyte-specific quality control limits offer improved efficiency and accuracy in clinical laboratories.
• A conservative approach is recommended when adopting manufacturer guidelines for quality control testing.
• The study provides a framework for transitioning to optimized, analyte-specific quality control procedures.