Related Experiment Video
Updated: Jul 6, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
Audit of internal quality control practice and processes in the south-east of England and suggested regional
David Housley1, Edward Kearney, Emma English
1Department of Clinical Biochemistry, Luton & Dunstable Hospital NHS Foundation Trust, Lewsey Road, Luton LU4 0DZ, UK. David.Housley@nhs.net
Background:
Internal quality control (IQC) has a long and well-established role in clinical biochemistry laboratories. However, despite the duration of use, and the publication of several articles detailing best practice, the implementation and use of IQC vary significantly between institutions. Consequently, the North Thames Audit and Quality Assurance Group undertook a region-wide audit of current IQC practice in 2006.
Methods:
On aspects of IQC testing, interpretation and laboratory processes, 54 laboratories in the region were audited.
Results:
Audit data showed significant variability in all aspects of practice, including IQC frequency, use of appropriate material, statistical processing and grades of staff involved.
Conclusions:
Some of the variation in practice may affect the effectiveness of laboratory IQC, and thus the adequacy of a laboratory to monitor system performance. Consequently, a set of proposed regional standards have been developed and disseminated, prior to re-audit at a future date.
Related Concept Videos
Quality Assurance
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Introduction to Statistical Process Control
Testing Water Quality
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Quality of Water