4.2 Article

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

期刊

INTERNATIONAL JOURNAL OF LEAN SIX SIGMA
卷 12, 期 2, 页码 175-209

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IJLSS-07-2019-0081

关键词

LSS; Fuzzy logic; Readiness for change; Lean in healthcare; Lean six sigma in healthcare; Readiness assessment

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This study aims to assess the readiness level for the implementation of Lean Six Sigma (LSS) in healthcare using a fuzzy logic approach. By developing an assessment model with 5 enablers, 16 criteria, and 48 attributes, the study identifies the readiness level for LSS implementation in a medium-size hospital from India. The study provides insights for healthcare managers to improve organizational readiness and successfully implement LSS by identifying weaker attributes and taking necessary corrective actions.
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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