Qualitative and Quantitative Analysis of Six Sigma in Service Organizations

Chakraborty, Atreya; Tan, Kok Choon

doi:10.5772/46104

Cited by 5 publications

(4 citation statements)

References 61 publications

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“…Six sigma has demonstrated efficiency in the assessment of clinical laboratory assays using software or manually with multiple institutional benefits [ 15 – 17 ]. In low-income settings laboratories, the implementation of efficient quality programs is so necessary because in Peru [ 18 ], several public and private laboratories work daily without establishing their quality limits, putting at risk medical decisions based on clinical analysis.…”

Section: Discussionmentioning

confidence: 99%

Six-sigma and quality planning of TORCH tests in the Peruvian population: a single-center cross-sectional study

et al. 2022

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Objective To ensure the health of newborns, it is necessary to perform high-quality diagnostic tests. The TORCH panel is a set of tests that identifies infectious pathogens such as Toxoplasma (Toxo) and Cytomegalovirus (CMV) that are common in low-setting populations. We performed TORCH panel quality planning using six sigma in a reference laboratory at Peru. Results This was a cross-sectional study. TORCH tests include Toxo, Rubella, CMV, and Herpes. We processed all samples by fourth-generation ELISA on the GEMINI XCR200 analyzer (Diatron, Budapest, Hungary). We obtained the imprecision from the annual data of the external quality assessment plan and we used the CLSI EP12-A3 guideline. In a total of 44,788 analyses, the average imprecision was 3.69 ± 1.47%, and CMV had lower imprecision (2.3 and 2.6% for IgM and IgG, respectively). Quality planning of the TORCH panel allowed estimating the sigma value that ranged from 4 to 10 (average 7 ± 2 sigma), where rubella had the highest values (10 for IgM and 8 for IgG) while HSV2 had the lowest values (4 for IgM and 5 for IgG). Our results suggest the optimal performance of half of the markers including Toxoplasma, Rubella, and CMV in the Peruvian population.

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Section: Discussionmentioning

confidence: 99%

Six-sigma and quality planning of TORCH tests in the Peruvian population: a single-center cross-sectional study

et al. 2022

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“…LSS methodologies have been successfully used by nonhealth care corporations and companies as a tool to improve emission and solid waste management and system efficiency at the operations, production, and supply chain levels. 12 As a result, some manufacturing companies have reduced their resource and energy consumption and carbon emissions, leading to cost savings. For example, 3M's corporate pollution prevention program, Pollution Prevention Pays (3P), prevented more than 2.6 billion pounds of pollutants and saved more than $1 billion in its first 31 years.…”

Section: Sustainable Health Professions Educationmentioning

confidence: 99%

How Should Health Systems Science Promote Health Systems’ Sustainability?

Sood

2022

AMA Journal of Ethics

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An expanded sustainability framework for health systems science (HSS) could promote health systems' capacity to deliver efficient, effective care for patients and to care for the planet by decreasing emissions and solid waste while cutting costs. This framework aligns well with the HSS mission to reform curricula and practice and has direct implications for patient care and systems-based practice competency development.Training clinicians to think critically about health system function, resilience, and sustainability will help prepare trainees to lead, innovate, and transform current health systems to prioritize planetary health, resource stewardship, and patient outcomes in a circular supply chain with low emissions.

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“…Furthermore, separating "data gathering and analysis" as "data gathering" and "data analysis" could be better because these actions are quite different in essence. Based on this source and the American Society for Quality website, an abbreviated version of this classification scheme is provided in Chakraborty and Tan (2012).…”

Section: Tool Classification In Six Sigmamentioning

confidence: 99%

A comprehensive insight into the Six Sigma DMAIC toolbox

Uluskan

2016

IJLSS

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Purpose As opposed to general literature reviews, by narrowing down the context only around the resources related to Six Sigma tools, this study aims to offer a strong discussion about Six Sigma toolbox which has a vital role in the success of Six Sigma. Design/methodology/approach Based on a comprehensive literature research, the most used tools; classification of tools; flow of tools with respect to define, measure, analyze, improve and control (DMAIC) steps; tools as critical success factors and reasons of ineffective use of tools are reviewed. To stay focused and not to diverge from the research aim, 60 articles which are suitable to the context and flow of the discussion are selected during the construction of the study. Findings The study provides a detailed and integrated review of Six Sigma articles about tools. The most used tools are listed from different perspectives and resources, and the role of these tools has been discussed. After a broad review, a more practical and combined classification of Six Sigma tools is proposed. Next, the issue of using which tools during which steps of DMAIC is systematically addressed. Finally, emergence of tools as a critical success factor and the gaps in the literature related to tools of Six Sigma are pointed out. Practical implications Addressing important statistics and the facts related to the tools of Six Sigma helps new practitioners in particular to build a strategic filter to select the most proper tools throughout their projects. Originality/value This study is unique in investigating only Six Sigma toolbox and providing a literature review on this subject.

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Qualitative and Quantitative Analysis of Six Sigma in Service Organizations

Cited by 5 publications

References 61 publications

Six-sigma and quality planning of TORCH tests in the Peruvian population: a single-center cross-sectional study

Six-sigma and quality planning of TORCH tests in the Peruvian population: a single-center cross-sectional study

How Should Health Systems Science Promote Health Systems’ Sustainability?

A comprehensive insight into the Six Sigma DMAIC toolbox

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