The meaning of 'Error' is very particular when applied to analytical testing. It is defined as the difference between an individual value and the true result and is regarded as having two components, namely, a random component and a systematic component. Random sources of error cause replicate measurements to fluctuate randomly around the mean, e.g., variability of HPLC injections. Systematic sources of error cause the result to be higher or lower than the true value, e.g., the assigned purity of a reference standard. Both types are inherent in the analytical method and are controlled by the elements in a typical quality system, such as calibration of instruments and equipment, and management of reference standards. They may also be introduced by the analyst, as human error, therefore suitable training in both correct procedures and the quality system is essential.
Mourne Training Services have now introduced a new training course to address this topic. It is day 2 of our 3 day course, 'Laboratory Data Integrity', and may be attended as a single day or as part of the full course.
Brief course description:
Applying Data Integrity in the Laboratory; Minimising Analytical Error
This course deals with the effects of analytical errors on laboratory data integrity. This involves building an understanding of the nature and sources of analytical errors so that their effects can be minimised during testing, leading to high standards of data integrity and reduced numbers of OOS/OOE results due to laboratory errors.
It is aimed at everyone working in an analytical laboratory, being both a perfect introduction for new starters and a useful refresher for more experienced analysts. Full details are available on the MTS website and if you would like us to deliver this course in your laboratory just Contact us for more information.