Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory

Background: Quality control (QC) is an important part of clinical laboratory management which evaluates and maintains the performance of the clinical laboratory. Six Sigma is a continuous quality improvement process which is widely applied in the health care industry mainly in clinical laboratories....

Full description

Saved in:
Bibliographic Details
Main Authors: Saurabh Singh, Manisha Singh, Devesh Sharma, Ijen Bhattacharya, Mamta Padhy, Surabhi Puri, Utkarsh Singh Tomar
Format: Article
Language:English
Published: Manipal College of Medical Sciences, Pokhara 2024-12-01
Series:Asian Journal of Medical Sciences
Subjects:
Online Access:https://www.nepjol.info/index.php/AJMS/article/view/70568
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846140804904517632
author Saurabh Singh
Manisha Singh
Devesh Sharma
Ijen Bhattacharya
Mamta Padhy
Surabhi Puri
Utkarsh Singh Tomar
author_facet Saurabh Singh
Manisha Singh
Devesh Sharma
Ijen Bhattacharya
Mamta Padhy
Surabhi Puri
Utkarsh Singh Tomar
author_sort Saurabh Singh
collection DOAJ
description Background: Quality control (QC) is an important part of clinical laboratory management which evaluates and maintains the performance of the clinical laboratory. Six Sigma is a continuous quality improvement process which is widely applied in the health care industry mainly in clinical laboratories. Aims and Objectives: The study aimed to evaluate the performance of biochemical analytes in a clinical laboratory using Six Sigma metrics and to implement quality improvement interventions. Sigma value was analyzed using bias, coefficient of variation (CV), and total allowable error (TEa) for each analyte. The quality goal index ratio was calculated to identify specific types of errors to introduce targeted quality interventions. Materials and Methods: This quasi-experimental study was carried out at the Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh. Internal QC (IQC) and external QC data were collected during the study period and analyzed. The CV, Bias, and TEa were used to calculate the sigma (σ) values for 20 biochemical analytes. Results: On retrospective data analysis, triglycerides-Level 1 (L1) and Level 2 (L2), and direct bilirubin-L2 showed a world-class performance (above 6σ) while 14 parameters were placed below average (<3σ) on sigma metrics. Prospective data analysis was performed following quality improvement intervention. Amylase, direct bilirubin, triglycerides and alanine transferase performed at world-class sigma metric for both the control levels (L1 and L2) whereas, Albumin and aspartate transferase showed above six sigma values for L2 control only. Five analytes out of 20 performed below average (<3σ) on sigma metrics, for which further continuous intervention will be carried out. Conclusion: Six Sigma metrics is a continuous improvement and monitoring program that should be implemented to achieve world-class quality performance.
format Article
id doaj-art-d9115583e6af4fe588b94d98121d8322
institution Kabale University
issn 2467-9100
2091-0576
language English
publishDate 2024-12-01
publisher Manipal College of Medical Sciences, Pokhara
record_format Article
series Asian Journal of Medical Sciences
spelling doaj-art-d9115583e6af4fe588b94d98121d83222024-12-05T04:31:08ZengManipal College of Medical Sciences, PokharaAsian Journal of Medical Sciences2467-91002091-05762024-12-0115127078https://doi.org/10.3126/ajms.v15i12.70568Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratorySaurabh Singh 0https://orcid.org/0009-0006-5245-0646Manisha Singh 1https://orcid.org/0000-0001-9345-8472Devesh Sharma 2https://orcid.org/0009-0003-6368-5836Ijen Bhattacharya 3https://orcid.org/0009-0004-8200-4597Mamta Padhy4https://orcid.org/0009-0002-8803-9796Surabhi Puri 5https://orcid.org/0009-0002-2837-3290Utkarsh Singh Tomar 6https://orcid.org/0000-0002-3956-3172Tutor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Professor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Assistant Professor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Professor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Associate Professor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Tutor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Tutor, Department of Biochemistry, Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh, India Background: Quality control (QC) is an important part of clinical laboratory management which evaluates and maintains the performance of the clinical laboratory. Six Sigma is a continuous quality improvement process which is widely applied in the health care industry mainly in clinical laboratories. Aims and Objectives: The study aimed to evaluate the performance of biochemical analytes in a clinical laboratory using Six Sigma metrics and to implement quality improvement interventions. Sigma value was analyzed using bias, coefficient of variation (CV), and total allowable error (TEa) for each analyte. The quality goal index ratio was calculated to identify specific types of errors to introduce targeted quality interventions. Materials and Methods: This quasi-experimental study was carried out at the Government Institute of Medical Sciences, Greater Noida, Uttar Pradesh. Internal QC (IQC) and external QC data were collected during the study period and analyzed. The CV, Bias, and TEa were used to calculate the sigma (σ) values for 20 biochemical analytes. Results: On retrospective data analysis, triglycerides-Level 1 (L1) and Level 2 (L2), and direct bilirubin-L2 showed a world-class performance (above 6σ) while 14 parameters were placed below average (<3σ) on sigma metrics. Prospective data analysis was performed following quality improvement intervention. Amylase, direct bilirubin, triglycerides and alanine transferase performed at world-class sigma metric for both the control levels (L1 and L2) whereas, Albumin and aspartate transferase showed above six sigma values for L2 control only. Five analytes out of 20 performed below average (<3σ) on sigma metrics, for which further continuous intervention will be carried out. Conclusion: Six Sigma metrics is a continuous improvement and monitoring program that should be implemented to achieve world-class quality performance.https://www.nepjol.info/index.php/AJMS/article/view/70568lean six sigma; six sigma; quality control; bias; coefficient of variation; clia; quality goal index
spellingShingle Saurabh Singh
Manisha Singh
Devesh Sharma
Ijen Bhattacharya
Mamta Padhy
Surabhi Puri
Utkarsh Singh Tomar
Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
Asian Journal of Medical Sciences
lean six sigma; six sigma; quality control; bias; coefficient of variation; clia; quality goal index
title Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
title_full Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
title_fullStr Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
title_full_unstemmed Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
title_short Application of Six Sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
title_sort application of six sigma metrics for assessing the quality management of biochemical analytes in the clinical laboratory
topic lean six sigma; six sigma; quality control; bias; coefficient of variation; clia; quality goal index
url https://www.nepjol.info/index.php/AJMS/article/view/70568
work_keys_str_mv AT saurabhsingh applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory
AT manishasingh applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory
AT deveshsharma applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory
AT ijenbhattacharya applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory
AT mamtapadhy applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory
AT surabhipuri applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory
AT utkarshsinghtomar applicationofsixsigmametricsforassessingthequalitymanagementofbiochemicalanalytesintheclinicallaboratory