Details

Autor(en) / Beteiligte

• Singla, Heena
• Panag, K.M.D.S
• Goyal, Gitanjali
• Batta, Anil

Titel

Quality Control in Clinical Laboratory

Ist Teil von

• Indian journal of clinical biochemistry, 2022-05, Vol.30 (S1), p.S74

Ort / Verlag

Springer

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The aim of the study was to study the importance of Quality control in a clinical laboratory. Quality control is one of the most important aspects in a clinical laboratory testing. Maintaining accurate and frequent checks through quality control ensures both precision and accuracy of patient sample results. When quality control (QC) works effectively, it can find and rectify the source of error in the analytical processes of a laboratory timely before potentially incorrect results are released. In a clinical laboratory, the most common sources of error include clerical errors, technical errors, caliberation error, reagents instability and random errors. Many preanalytical, analytical and postanalytical variables affect patient results. QC materials must be identical and tested identically to patient samples. The most common tool used to track laboratory quality control samples is the Levey-Jennings (L-J) chart. An L-J chart and Westgard Rules are frequently used to identify errors in a quality control run. Westgard Rules observe the normal distribution expected and identify standard deviations produced. Implementing Westgard rules within an L-J chart can identify violation of the rules based on control limits established for the sample tested. Most importantly, by tracking the running averages of the patient results, a laboratory can identify drift or problems with analyzer function that may not be captured by quality control testing. Addressing QC issues is critical to identification of potential errors with patient results. Continuous monitoring of quality control testing and capturing sources of error is important to ensure accuracy of patient results.