Assessment of Analytical Quality through Sigma Metrics & its Application for Selection of Westgard Rule


Authors : Dr. Sapna Patel; Dr. Shreyansh Sharma; Dr. Hariom Sharma

Volume/Issue : Volume 7 - 2022, Issue 12 - December

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3QxNGG1

DOI : https://doi.org/10.5281/zenodo.7527738

Abstract : In today's world, the clinical laboratory is a rapidly expanding area under constant demand to give speedy and reliable results. A clinical laboratory's performance is measured using IQC and EQAS. However, these approaches cannot quantify the number of errors. A new tool called sigma metric quantifies the approximate amount of analytical errors, and assesses and directs the development of better quality control procedures. In order to minimizing error rates Six Sigma were utilized to quantify the analytical quality of automated clinical chemistry.

Keywords : IQC, EQAS, Six Sigma, Quality Goal Index

In today's world, the clinical laboratory is a rapidly expanding area under constant demand to give speedy and reliable results. A clinical laboratory's performance is measured using IQC and EQAS. However, these approaches cannot quantify the number of errors. A new tool called sigma metric quantifies the approximate amount of analytical errors, and assesses and directs the development of better quality control procedures. In order to minimizing error rates Six Sigma were utilized to quantify the analytical quality of automated clinical chemistry.

Keywords : IQC, EQAS, Six Sigma, Quality Goal Index

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