Analysis of hematology quality control using six sigma metrics
Introduction: Clinical laboratories serve a critical role in increasing the efficiency of patient care. Choosing the right test, getting trustworthy results and appropriate interpretation are of utmost importance in improving the patient’s well-being. Quality management strategies should be applied...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-04-01
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| Series: | Indian Journal of Pathology and Microbiology |
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| Online Access: | https://journals.lww.com/10.4103/ijpm.ijpm_352_23 |
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| author | Shreya Goel Amit R. Nisal Ankita Raj Ravindra C. Nimbargi |
| author_facet | Shreya Goel Amit R. Nisal Ankita Raj Ravindra C. Nimbargi |
| author_sort | Shreya Goel |
| collection | DOAJ |
| description | Introduction:
Clinical laboratories serve a critical role in increasing the efficiency of patient care. Choosing the right test, getting trustworthy results and appropriate interpretation are of utmost importance in improving the patient’s well-being. Quality management strategies should be applied in routine patient care because laboratory errors have a major impact on the quality of patient care. In sigma metrics, errors identified are quantified as percentage errors or defects per million (DPM). It aims at improving the quality control (QC) process by forming an appropriate strategy.
Aim and Objectives:
To analyze the internal quality control (IQC) of hematology analytes using the sigma metrics method and to devise the frequency of IQC by the results of six sigma metric analysis.
Materials and Methods:
This study was conducted in a tertiary care center of western India. Internal quality control (IQC) data sets of five analytes- Red Blood Cell count (RBC), Hemoglobin (Hb), Hematocrit (Hct), White blood cell count (WBC), and Platelet count (PLT) were analyzed retrospectively of six months using Beckman Coulter DXH 800 hematology analyzers.
Results:
The observed sigma value was >6 for Hb, TLC, and PLT, indicating excellent results and requiring no modification in IQC. The Sigma value was between 3 and 4 for RBC and Hct suggested the need for improvement in quality control (QC) processes. No analytes showed a Sigma value of <3.
Conclusion:
Sigma metrics provide a quantitative framework that helps to assess analytic methodologies and can serve as an important self-assessment tool for quality assurance in the clinical laboratory. |
| format | Article |
| id | doaj-art-1585f1e907df4437bda36b5e9b16ec8f |
| institution | Kabale University |
| issn | 0377-4929 0974-5130 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Pathology and Microbiology |
| spelling | doaj-art-1585f1e907df4437bda36b5e9b16ec8f2025-02-07T13:57:19ZengWolters Kluwer Medknow PublicationsIndian Journal of Pathology and Microbiology0377-49290974-51302024-04-0167233233510.4103/ijpm.ijpm_352_23Analysis of hematology quality control using six sigma metricsShreya GoelAmit R. NisalAnkita RajRavindra C. NimbargiIntroduction: Clinical laboratories serve a critical role in increasing the efficiency of patient care. Choosing the right test, getting trustworthy results and appropriate interpretation are of utmost importance in improving the patient’s well-being. Quality management strategies should be applied in routine patient care because laboratory errors have a major impact on the quality of patient care. In sigma metrics, errors identified are quantified as percentage errors or defects per million (DPM). It aims at improving the quality control (QC) process by forming an appropriate strategy. Aim and Objectives: To analyze the internal quality control (IQC) of hematology analytes using the sigma metrics method and to devise the frequency of IQC by the results of six sigma metric analysis. Materials and Methods: This study was conducted in a tertiary care center of western India. Internal quality control (IQC) data sets of five analytes- Red Blood Cell count (RBC), Hemoglobin (Hb), Hematocrit (Hct), White blood cell count (WBC), and Platelet count (PLT) were analyzed retrospectively of six months using Beckman Coulter DXH 800 hematology analyzers. Results: The observed sigma value was >6 for Hb, TLC, and PLT, indicating excellent results and requiring no modification in IQC. The Sigma value was between 3 and 4 for RBC and Hct suggested the need for improvement in quality control (QC) processes. No analytes showed a Sigma value of <3. Conclusion: Sigma metrics provide a quantitative framework that helps to assess analytic methodologies and can serve as an important self-assessment tool for quality assurance in the clinical laboratory.https://journals.lww.com/10.4103/ijpm.ijpm_352_23hematologyquality controlsix sigma metrics |
| spellingShingle | Shreya Goel Amit R. Nisal Ankita Raj Ravindra C. Nimbargi Analysis of hematology quality control using six sigma metrics Indian Journal of Pathology and Microbiology hematology quality control six sigma metrics |
| title | Analysis of hematology quality control using six sigma metrics |
| title_full | Analysis of hematology quality control using six sigma metrics |
| title_fullStr | Analysis of hematology quality control using six sigma metrics |
| title_full_unstemmed | Analysis of hematology quality control using six sigma metrics |
| title_short | Analysis of hematology quality control using six sigma metrics |
| title_sort | analysis of hematology quality control using six sigma metrics |
| topic | hematology quality control six sigma metrics |
| url | https://journals.lww.com/10.4103/ijpm.ijpm_352_23 |
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