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Internal quality control: best practice
Helen Kinns1, Sarah Pitkin, David Housley
1Department of Clinical Biochemistry, Luton and Dunstable University Hospital NHS Trust, , Luton, UK.
Insights
Implementing effective internal quality control (IQC) in clinical biochemistry labs optimizes error detection and reduces false rejections. This practical guide details IQC system stages for reliable patient results.
Area of Science:
- Clinical Biochemistry
- Laboratory Medicine
- Quality Management
Background:
- Internal quality control (IQC) implementation and review vary widely in laboratory practice.
- Ineffective IQC can lead to incorrect patient result validation or unnecessary rejection of analytical runs.
Purpose of the Study:
- To provide a practical approach for clinical biochemistry laboratories to implement an efficient IQC system.
- To optimize error detection and minimize false rejections in routine laboratory operations.
Main Methods:
- Consideration of each IQC system stage: material selection, rule selection, and post-rejection actions.
- Grouping assays based on performance to assign appropriate IQC rules.
- Utilizing tools to categorize assay performance for IQC rule assignment.
Main Results:
- Assay-specific IQC systems reduce inappropriate sample-run rejections compared to universal rules.
- A limited number of IQC rules (3-4) are sufficient for routine biochemistry assays when grouped by performance.
- Implementation requires time and education but yields significant cost and labor reductions.
Conclusions:
- An optimized IQC system ensures day-to-day analytical consistency and reliable patient result release.
- Tailoring IQC rules to specific analyte performance is more effective than a one-size-fits-all approach.
- Strategic implementation of IQC leads to substantial operational efficiencies and cost savings.
Abstract:
There is a wide variation in laboratory practice with regard to implementation and review of internal quality control (IQC). A poor approach can lead to a spectrum of scenarios from validation of incorrect patient results to over investigation of falsely rejected analytical runs. This article will provide a practical approach for the routine clinical biochemistry laboratory to introduce an efficient quality control system that will optimise error detection and reduce the rate of false rejection. Each stage of the IQC system is considered, from selection of IQC material to selection of IQC rules, and finally the appropriate action to follow when a rejection signal has been obtained. The main objective of IQC is to ensure day-to-day consistency of an analytical process and thus help to determine whether patient results are reliable enough to be released. The required quality and assay performance varies between analytes as does the definition of a clinically significant error. Unfortunately many laboratories currently decide what is clinically significant at the troubleshooting stage. Assay-specific IQC systems will reduce the number of inappropriate sample-run rejections compared with the blanket use of one IQC rule. In practice, only three or four different IQC rules are required for the whole of the routine biochemistry repertoire as assays are assigned into groups based on performance. The tools to categorise performance and assign IQC rules based on that performance are presented. Although significant investment of time and education is required prior to implementation, laboratories have shown that such systems achieve considerable reductions in cost and labour.
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