Evaluation of Quality Indicators with Lean Six Sigma In Pre and Post Analytical Laboratories

Background & Objective: Medical laboratories have an important role of 60-70% in diagnosis, patient monitoring, and prevention and treatment of diseases. Therefore, the laboratory must maintain and ensure the quality of service process. This study aims to determine the sigma value and identify waste in pre and post analytical in the laboratory, as well as determine Improvement proposals in order to reduce errors pre and post analytical laboratory. Method: This research design is descriptive study that Analyzes the process and quality indicators at pre and post analytical with the Lean Six Sigma approach, which is a combination of Lean methods that focus on eliminating waste and Six Sigma that focuses on eliminating defects. This research was conducted as a process Improvement effort with five Six Sigma work steps (DMAIC) and identified eight types of waste (DOWNTIME). Result: The results showed that the sigma value at pre and post analytical was 4.6 and 3.5 Sigma, and total sigma value for pre-post analytical was 4.3 Sigma so that both had not met the minimum target achievement of 5 Sigma (Excellent). There are two quality indicators that require improvement and enhancement including suitability of sample and TAT. The results also show that there are 4 wastes, consisting of 1 Defects, 1 Waiting, and 2 Not Utilizing Employees Knowledge. Conclusion: Proposed Improvements are then given so that all waste identified in this study can be minimized so that the achievement of sigma quality indicators can increase.

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Publication Details

Journal
Mukhtabar Journal of Medical Laboratory Technology
Published
2025-04-21
DOI
https://doi.org/10.52221/mjmlt.v3i1.795
Primary Topic
Quality and Management Systems
Type
article
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article

Evaluation of Quality Indicators with Lean Six Sigma In Pre and Post Analytical Laboratories

Surya Ridwanna, Sonny Feisal Rinaldi, Betty Nurhayati, Muhammad Nurhadi
Mukhtabar Journal of Medical Laboratory Technology
Quality and Management Systems
article

Evaluation of Quality Indicators with Lean Six Sigma In Pre and Post Analytical Laboratories

Surya Ridwanna, Sonny Feisal Rinaldi, Betty Nurhayati, Muhammad Nurhadi
article en

Abstract

Background & Objective: Medical laboratories have an important role of 60-70% in diagnosis, patient monitoring, and prevention and treatment of diseases. Therefore, the laboratory must maintain and ensure the quality of service process. This study aims to determine the sigma value and identify waste in pre and post analytical in the laboratory, as well as determine Improvement proposals in order to reduce errors pre and post analytical laboratory. Method: This research design is descriptive study that Analyzes the process and quality indicators at pre and post analytical with the Lean Six Sigma approach, which is a combination of Lean methods that focus on eliminating waste and Six Sigma that focuses on eliminating defects. This research was conducted as a process Improvement effort with five Six Sigma work steps (DMAIC) and identified eight types of waste (DOWNTIME). Result: The results showed that the sigma value at pre and post analytical was 4.6 and 3.5 Sigma, and total sigma value for pre-post analytical was 4.3 Sigma so that both had not met the minimum target achievement of 5 Sigma (Excellent). There are two quality indicators that require improvement and enhancement including suitability of sample and TAT. The results also show that there are 4 wastes, consisting of 1 Defects, 1 Waiting, and 2 Not Utilizing Employees Knowledge. Conclusion: Proposed Improvements are then given so that all waste identified in this study can be minimized so that the achievement of sigma quality indicators can increase.

Mukhtabar Journal of Medical Laboratory TechnologyVol. 3(1)
Openalex Percentile: Top 83%
Quality and Management Systems
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Evaluation of Quality Indicators with Lean Six Sigma In Pre and Post Analytical Laboratories — Surya Ridwanna, Sonny Feisal Rinaldi, et al. · Mukhtabar Journal of Medical Laboratory Technology (2025) | TGRS Research Map | TGRS