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Assessing the Readiness Level of Healthcare for Implementing Agility Using Fuzzy Logic Approach

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Abstract

An agile strategy in healthcare would authorize organizations to provide efficient, customized and standard service on time at an optimized cost. To implement agility, the management of the healthcare organization needs to know the mechanisms and how to make the whole organization ready for change process. Thus, the current study assesses the readiness level of healthcare utilizing fuzzy logic approach to implement agility. The conceptual readiness model is framed with five enablers, twenty criteria and fifty-six attributes. The proposed model is applied in to a case hospital to assess the readiness level. The Fuzzy readiness for the implementation of agility index (FRAI) and fuzzy performance importance index (FPII) are computed to determine the readiness level of the case hospital and its weaker attributes in the implementation of agility. FRAI is computed as average ready with (3.00, 4.78, 6.56), and FPII identifies 15 weaker attributes from 56 attributes. It constructs the conceptual model which analyses the current readiness of healthcare and weaker attributes are denoted and required corrective actions should be carried by the management of healthcare organization to improve the readiness. The continuation of assessment readiness model over a period of time would help to improve the readiness level of healthcare for agile implementation.

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Table 12 Detailed explanation of attributes with reference
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Vaishnavi, V., Suresh, M. Assessing the Readiness Level of Healthcare for Implementing Agility Using Fuzzy Logic Approach. Glob J Flex Syst Manag 21, 163–189 (2020). https://doi.org/10.1007/s40171-020-00237-7

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