B. P. Magar, Amit Thapa, Shreeman Acharya, Narayan Ghimire, Sanjiv Kumar Pandey, R. Rokaya, Suman Lamichhane
{"title":"Application of Sigma Metrics for Evaluating Analytical Performance of HbA1C Testing on D10- HbA1C Analyzer","authors":"B. P. Magar, Amit Thapa, Shreeman Acharya, Narayan Ghimire, Sanjiv Kumar Pandey, R. Rokaya, Suman Lamichhane","doi":"10.22270/jddt.v14i4.6424","DOIUrl":null,"url":null,"abstract":"In this study, analyzed HbA1C over a period of 6 months. Six Sigma improves the quality of process outputs by analyzing and eliminating the source of defects and reducing variability in manufacturing and business practices. In terms of clinical laboratory, the identification of test with low Sigma values (< 3σ) indicate that actions should be taken to improve analytic quality or the laboratory should use alternate methods and reagents. Our study showed methodologies for HbA1C is of world class performance achieving Sigma value ˃6, to maintain and improve this frequency of QC should be run as rule as per the westguard QC rule. Sigma metrics helps to assess analytical methodologies and augment laboratory performance. It acts as a guide for planning quality control strategy. It can be a self -assessment tool regarding the functioning of clinical laboratory. Using Six Sigma techniques, able to identify problem areas as well as recurring issues that affect the overall quality expectation of laboratory result. \nKeywords: HbA1C, Six Sigma, Six Sigma values","PeriodicalId":15622,"journal":{"name":"Journal of Drug Delivery and Therapeutics","volume":"11 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Drug Delivery and Therapeutics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22270/jddt.v14i4.6424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, analyzed HbA1C over a period of 6 months. Six Sigma improves the quality of process outputs by analyzing and eliminating the source of defects and reducing variability in manufacturing and business practices. In terms of clinical laboratory, the identification of test with low Sigma values (< 3σ) indicate that actions should be taken to improve analytic quality or the laboratory should use alternate methods and reagents. Our study showed methodologies for HbA1C is of world class performance achieving Sigma value ˃6, to maintain and improve this frequency of QC should be run as rule as per the westguard QC rule. Sigma metrics helps to assess analytical methodologies and augment laboratory performance. It acts as a guide for planning quality control strategy. It can be a self -assessment tool regarding the functioning of clinical laboratory. Using Six Sigma techniques, able to identify problem areas as well as recurring issues that affect the overall quality expectation of laboratory result.
Keywords: HbA1C, Six Sigma, Six Sigma values