The Application of Lean Six Sigma to Provide High Quality, Reliable Health Care

C.H, Ahammed Fuwad; Ramasamy, Radha Perumal; Sebastian, Amal; Ashique, Muhammed; Mathew, Ren Joy; Yalla, Ujwal Teja

doi:10.18579/jpcrkc/2015/0/0/79270

Cited by 5 publications

(6 citation statements)

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“…Montella et al (2017) have explored the application of LSS methodology to reduce the number of patients affected by sentinel bacterial infections who are at risk of healthcareassociated infections. Fuwad et al (2015) also have explored LSS for improving patient care, reducing cost and ensuring sustainability by providing high-quality, reliability and care for patients.…”

Section: Lean Six Sigmamentioning

confidence: 99%

“…Many researchers (Mozammel and Mapa, 2011;Trakulsunti and Antony, 2018;Basta et al, 2016;Fuwad et al, 2015;Yaduvanshi and Sharma, 2017;Shirey et al, 2018) have studied LSS based on the implementation in particular department, assessment after implementation, long-run assessment, critical success factors (CSFs), critical failure factors, different methods and literature form. Although many studies have been conducted on the identification of enablers and barriers, none has used modelling technique for prioritizing or ranking the enablers and barriers for the effective implementation of LSS (Yadav and Desai, 2016) and a very few have studied the readiness factors for the implementation of LSS.…”

Section: Introductionmentioning

confidence: 99%

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Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Vaishnavi

Suresh

2020

IJLSS

114

105

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Purpose This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power. Design/methodology/approach In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified. Findings The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution. Research limitations/implications This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry. Practical implications This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS. Originality/value Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

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Section: Lean Six Sigmamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Vaishnavi

Suresh

2020

IJLSS

114

105

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“…In healthcare, LSS is used to improve the process efficiency, reduce wastage and medical errors, enhance the care process, reduce of waiting time, improve quality, reduce cost and improve patients satisfaction (Molla et al , 2018; Hynes et al , 2019; Ahmed et al , 2018; Tagge et al , 2017; Agarwal et al , 2016; Fuwad et al , 2015; Singh et al , 2014). LSS assessment method for the performance of the organization can be obtained from the feedback and guides from the planning activities.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of readiness level for implementing lean six sigma in healthcare organization using fuzzy logic approach

Vaishnavi

Suresh

2020

IJLSS

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Purpose Lean Six Sigma (LSS) is a widely accepted business improvement methodology in healthcare, which aims to improve operations and quality and reduce cost, medical errors and waiting time by combing the principles of lean thinking with Six Sigma methodologies. To implement LSS successfully in healthcare organizations it is necessary to know the readiness level before starting the change process. Thus, the purpose of this paper is to assess the readiness level for the implementation of LSS in healthcare using a fuzzy logic approach. Design/methodology/approach The current study uses a fuzzy logic approach to develop an assessment model for readiness to implement LSS. The conceptual model for readiness is developed with 5 enablers, 16 criteria and 48 attributes identified from the literature review. The current study does the study in a medium-size hospital from India. Findings The fuzzy readiness for implementation of LSS index (FRLSSI) and fuzzy performance importance index (FPII) are calculated to identify the readiness level for the implementation of LSS in the case hospital. The FRLSSI is computed as average ready with (3.30, 5.06 and 6.83) and the FPII computed helps to identify 15 weaker attributes from 48 attributes. Research limitations/implications The current study uses only one hospital for study. In the future, the model can be tested in many hospitals. Practical implications The current study would be used by the managers of a healthcare organization to identify the readiness level of their organization to implement LSS. The proposed model is based on the identification of enablers, criteria and attributes to assess the readiness level of a healthcare organization and it helps to improve the readiness level to implement LSS effectively. Originality/value The present study contributes to the knowledge of readiness for the implementation of LSS in a healthcare organization. The conceptual model is developed for assessing the readiness level of a healthcare organization and it helps to improve the readiness level for successful implementation of LSS. Weaker attributes are identified and necessary corrective actions should be taken by the management to improve the readiness. The continuation of the assessment readiness model over a period of time would help to improve the readiness level of healthcare for the implementation of LSS.

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“…En el Hospital Académico en Estados Unidos a través de la implementación de Lean Six Sigma se logró rediseñar los procesos de la unidad multidisciplinaria de cuidados intensivos la cual favoreció a la optimización de los recursos (Trzeciak et al, 2016). De igual manera se lo realizó en un Hospital en la India se logró mejorar la calidad de atención y optimizar los recursos logrando eliminar los errores en la salud del paciente (Fuwad et al, 2015).…”

Section: Mejora Del Proceso De Atención En Los Centros De Saludunclassified

Análisis De Calidad Del Servicio De Atención Al Afiliado en Centros De Salud Del Iess: Caso Santa Rosa Y Pasaje

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2018

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The Application of Lean Six Sigma to Provide High Quality, Reliable Health Care

Cited by 5 publications

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Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Assessment of readiness level for implementing lean six sigma in healthcare organization using fuzzy logic approach

Análisis De Calidad Del Servicio De Atención Al Afiliado en Centros De Salud Del Iess: Caso Santa Rosa Y Pasaje

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