Abstract:Objective: to analyze the scientific production on the results of Lean Six Sigma methodology in health care institutions. Methods: an integrative literature review, with the following question: what are the results in health institutions using Lean Six Sigma and Six Sigma methodology? The search was carried out at MEDLINE, LILACS, BDENF, CINAHL, Web of Science, and Scopus, with no time frame. Results: thirty-four articles were included, published between 2005 and 2019, of which 52.9% came from the United Sta… Show more
“…More than half of these studies have been done in the US. 29 Very few hospitals in India have implemented six-sigma tools due to lack of knowledge and availability of resources. 30…”
Background: In pre-analytical phase of Clinical Biochemistry Laboratory, sample rejection is a very frequent and important source of error. It affects the overall quality of laboratory services and patient care by increasing cost and turnaround time. It leads to test abandonment and causes inconvenience to patients and staff.
Aims and Objectives: The aim of the study was to implement the define, measure, analyze, improve, and control (DMAIC) method of six-sigma to decrease the rate of sample rejection in Clinical Biochemistry Laboratory.
Materials and Methods: In this prospective study, sample rejection rates were analyzed in a clinical Biochemistry Laboratory before and after implementation of DMAIC method of six-sigma. Baseline rejection rates were calculated for a year and classified based on cause of rejection and patient location. Current defects per million opportunities and six sigma values were calculated. This was followed by root cause analysis and implementation of corrective and preventive measures. Reanalysis of the baseline measures was done to observe the impact of these measures.
Results: After implementation of DMAIC, the overall rejection rate fell from 1.07% to 0.49% with an increase in sigma value from 3.8 to 4.1.
Conclusion: Six-sigma tool like DMAIC can be successfully implemented to improve sample rejection rates ultimately improving the quality of laboratory services in resource limited setting with minimal financial implications.
“…More than half of these studies have been done in the US. 29 Very few hospitals in India have implemented six-sigma tools due to lack of knowledge and availability of resources. 30…”
Background: In pre-analytical phase of Clinical Biochemistry Laboratory, sample rejection is a very frequent and important source of error. It affects the overall quality of laboratory services and patient care by increasing cost and turnaround time. It leads to test abandonment and causes inconvenience to patients and staff.
Aims and Objectives: The aim of the study was to implement the define, measure, analyze, improve, and control (DMAIC) method of six-sigma to decrease the rate of sample rejection in Clinical Biochemistry Laboratory.
Materials and Methods: In this prospective study, sample rejection rates were analyzed in a clinical Biochemistry Laboratory before and after implementation of DMAIC method of six-sigma. Baseline rejection rates were calculated for a year and classified based on cause of rejection and patient location. Current defects per million opportunities and six sigma values were calculated. This was followed by root cause analysis and implementation of corrective and preventive measures. Reanalysis of the baseline measures was done to observe the impact of these measures.
Results: After implementation of DMAIC, the overall rejection rate fell from 1.07% to 0.49% with an increase in sigma value from 3.8 to 4.1.
Conclusion: Six-sigma tool like DMAIC can be successfully implemented to improve sample rejection rates ultimately improving the quality of laboratory services in resource limited setting with minimal financial implications.
“…These systems describe iterative steps that can be used to manage change within a single environment. 24…”
Section: Knowledge To Practicementioning
confidence: 99%
“…These systems describe iterative steps that can be used to manage change within a single environment. 24 While applicable to health care, many of these systems were originally designed for manufacturing, and do not intrinsically provide methods to address resistance to change in complex, interprofessional environments. There are many tools from the field of implementation science that can be used by stakeholder groups to investigate these challenges to adoption or dissemination.…”
Learning healthcare systems are an evolving way of integrating informatics, analytics, and continuous improvement into daily practice in healthcare. This article discusses strategies to build learning healthcare systems for critical care medicine.
“…Ensuring desired clinical outcomes must be the ultimate objective. Laboratories must prioritise cost-effectiveness while establishing and maintaining quality in all laboratory procedures to accomplish this goal [ 19 ].…”
Six Sigma Foundations is a statistical standard that indicates an exceptionally high level of quality, along with a customer satisfaction management approach that intends to lower error rates and boost process efficiency. The Define, Measure, Analyse, Improve, and Control (DMAIC) approach is a fundamental component of Six Sigma and provides an organised framework for process improvement. In contrast to conventional techniques that are more manual-based, Six Sigma emphasises and focuses on making decisions based on facts and evidence. The key to the success of Six Sigma is its reliance on statistical methods. Advanced tools like Pareto charts, histograms, regression analysis, and fishbone diagrams are used ardently for the benefit of customers and to reduce the overall error rate. To support clinical decision-making, a clinical laboratory's primary responsibility is to generate test results that are accurate, repeatable, fast, and appropriately interpreted. Ensuring desired clinical outcomes must be the ultimate objective. To accomplish this goal, laboratories must prioritise cost-effectiveness while establishing and maintaining quality in all laboratory procedures. The concept of the Lean Six Sigma (LSS) methodology, which mainly centres on efficiency by discerning and eradicating actions or operations that do not provide any benefit to the organisation, is combined with the proposition of Six Sigma, which emphasises data-driven analyses and optimization. The integration of these powerful concepts aids in the overall improvement of the organisations adopting these techniques. This review provides a brief overview of the benefits of the LSS methodology and its implementation in the oral pathology laboratory.
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