Reducing the turnaround time of laboratory samples by using Lean Six Sigma methodology in a tertiary-care hospital in India

Lokesh, K; Samanta, Alok Kumar; Varaprasad, G.

doi:10.1109/icscan49426.2020.9262385

Cited by 5 publications

(6 citation statements)

References 11 publications

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“…In regards to the RQ3, our results indicate that 74% of the interventions employed DES as its simulation approach. This result supports the finding that DES continues to be the most popular approach in healthcare [135,152], indicating its pervasiveness across several types of problems related to scheduling and optimization. System dynamics (SD) [27,67,68] and agent-based simulation (ABS) [7] were utilized less frequently in the interventions.…”

Section: Simulation Paradigms Utilized In the Interventionssupporting

confidence: 86%

“…Interventions following the DMAIC methodology initiate a process flow visualization in the early stages, aiming at obtaining a diagnosis of the current situation. Here, due to the focus on visualizing the flow of people, material, and information, the VSM was identified as the main tool to support the creation of such a current state [65,66,135], to eliminate possible obstacles at the moment of cooperating, and to reduce the gap between the current and desired performance [137]. Then, simulations of future scenarios are developed in the analysis and improvement stages [65,66,135,150].…”

Section: Dual Interventions Of Lss and Simulation In Healthcare Servicesmentioning

confidence: 99%

“…Here, due to the focus on visualizing the flow of people, material, and information, the VSM was identified as the main tool to support the creation of such a current state [65,66,135], to eliminate possible obstacles at the moment of cooperating, and to reduce the gap between the current and desired performance [137]. Then, simulations of future scenarios are developed in the analysis and improvement stages [65,66,135,150]. In this way, VSM provides insightful data from the process, e.g., cycle time, which is then used as an input for simulating possible changes and scenarios [134].…”

Section: Dual Interventions Of Lss and Simulation In Healthcare Servicesmentioning

confidence: 99%

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Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions

et al. 2022

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In the Industry 4.0 era, healthcare services have experienced more dual interventions that integrate lean and six sigma with simulation modeling. This systematic review, which focuses on evidence-based practice and complies with the PRISMA guidelines, aims to evaluate the effects of these dual interventions on healthcare services and provide insights into which paradigms and tools produce the best results. Our review identified 4018 studies, of which 39 studies met the inclusion criteria and were selected. The predominantly positive results reported in 73 outcomes were mostly related to patient flow: length of stay, waiting time, and turnaround time. In contrast, there is little reported evidence of the impact on patient health and satisfaction, staff wellbeing, resource use, and savings. Discrete event simulation stands out in 74% of the interventions as the main simulation paradigm. Meanwhile, 66% of the interventions utilized lean, followed by lean-six sigma with 28%. Our findings confirm that dual interventions focus mainly on utilization and access to healthcare services, particularly on either patient flow problems or problems concerning the allocation of resources; however, most interventions lack evidence of implementation. Therefore, this study promotes further research and encourages practical applications including the use of Industry 4.0 technologies.

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Section: Simulation Paradigms Utilized In the Interventionssupporting

confidence: 86%

Section: Dual Interventions Of Lss and Simulation In Healthcare Servicesmentioning

confidence: 99%

Section: Dual Interventions Of Lss and Simulation In Healthcare Servicesmentioning

confidence: 99%

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Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions

et al. 2022

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“…Simulation stands out as a powerful decision-support technique among the main trends of the Industry 4.0 era [ 139 ]. We identified two approaches to the use of simulation in LH projects: (i) practical interventions using simulation as a means to model different scenarios in a healthcare setting followed by the adoption of the best solution, and (ii) theoretical studies that combine LH and simulation to propose potential solutions, with no reported implementation [ 130 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 ].…”

Section: Discussionmentioning

confidence: 99%

Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Tlapa

Tortorella

Fogliatto

et al. 2022

IJERPH

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Despite the increasing utilization of lean practices and digital technologies (DTs) related to Industry 4.0, the impact of such dual interventions on healthcare services remains unclear. This study aims to assess the effects of those interventions and provide a comprehensive understanding of their dynamics in healthcare settings. The methodology comprised a systematic review following the PRISMA guidelines, searching for lean interventions supported by DTs. Previous studies reporting outcomes related to patient health, patient flow, quality of care, and efficiency were included. Results show that most of the improvement interventions relied on lean methodology followed by lean combined with Six Sigma. The main supporting technologies were simulation and automation, while emergency departments and laboratories were the main settings. Most interventions focus on patient flow outcomes, reporting positive effects on outcomes related to access to service and utilization of services, including reductions in turnaround time, length of stay, waiting time, and turnover time. Notably, we found scarce outcomes regarding patient health, staff wellbeing, resource use, and savings. This paper, the first to investigate the dual intervention of DTs with lean or lean–Six Sigma in healthcare, summarizes the technical and organizational challenges associated with similar interventions, encourages further research, and promotes practical applications.

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“…Furthermore, it has a favorable impact on the organization's productivity by effectively reducing defects, thereby enabling a reduction in non-quality costs. This, in turn, translates into a positive effect on the financial standings of the companies that implement it (Lokesh et al, 2020). It is worth noting that representing qualitative results in terms of sigma simplifies the analysis of these outcomes (Fontalvo Herrera et al, 2022a), which proves beneficial for prioritizing and developing improvement strategies.…”

Section: Evaluation Of the Quality Of A Production Systemmentioning

confidence: 99%

Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics

Fontalvo Herrera,

Banquez Maturana,

Mendoza Villero

2024

Prod.

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Paper aims: This research establishes a method to evaluate a concurrent production system in parallel, through new operating curves of six sigma metrics.Originality: Se proposes a novel method that provides criteria to monitor the performance of a production system in changing production conditions.Research method: This research was approached from a logical positivist epistemological model, through a heuristic analysis and with a rational propositional approach to establish the characterization of the model, the evaluation metrics and propose the new operation curves. Main findings:The results obtained show that as the sigma level increases in the global system (4.17), the level of defects per million opportunities decreases considerably and the performance increases at levels close to the main objective of Six Sigma, all this with a decrease of defects from 20.657 to 1.317, generating a high quality of 99.99% and achieving a good performance according to the established quality criteria. Implications for theory and practice:This research provides a new tool where they articulate concepts of six sigma and operating curves to monitor a productive system, which allows in a practical way to determine the real capabilities in terms of quality performance of a system.

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Reducing the turnaround time of laboratory samples by using Lean Six Sigma methodology in a tertiary-care hospital in India

Cited by 5 publications

References 11 publications

Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions

Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions

Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics

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