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Publication Type : Journal Article
Publisher : BMC Health Services Research, BioMed Central Ltd.,
Source : BMC Health Services Research, BioMed Central Ltd., Volume 17, Number 1 (2017)
Keywords : Fuzzy logic, Humans, India, Quality Indicators, Health Care, Student Health Services, Universities
Campus : Coimbatore
School : School of Business
Department : Business
Year : 2017
Abstract : Background: Agile concepts are not only beneficial for manufacturing sector but also for service sector such as healthcare. However, assessment of agility has been predominantly done in manufacturing enterprises. This study demonstrates a means to measure agility of a healthcare organization by assessing agility of a university dispensary. Its contribution to the knowledge base is twofold. First, it proposes a means to measure the agility of a healthcare organization and second, it identifies the attributes that prevent agile performance and outlines the suggestive measure to enhance its agile capabilities. Method: A case study approach has been adopted and fuzzy logic has been employed to measure the agility of the case dispensary. At first, the measures of assessment which include four enablers, fifteen criteria and forty-five attributes have been identified from the literature and rated by the experts indicating the importance of the measures in the assessment. Then, the case dispensary has been assessed on those measures by collecting observed performance rating from decision makers. At last, Fuzzy logic has been applied on the performance rating data to analyze and interpret the agile capability of the dispensary. Results: The findings suggest that transparent information flow, adequate salary and bonuses for caregivers, reading error in medical descriptions, in house/nearby pathology laboratory services, technical up-gradation of dispensary equipments and facilities, minimization of patient throughput time and adequate training programme for safety practices are the attributes that weakens agile capability of the University dispensary. The current agility of the dispensary was found to be 'Agile' which is average in relation to the agility labels. Conclusion: Attributes such as transparent information flow, adequate salary and bonuses for caregivers, elimination of reading error in medical descriptions, in house/nearby pathology laboratory services, technical up-gradation of dispensary equipments and facilities, minimization of patient throughput time and adequate training programme for safety practices are extremely crucial for enhancing agile capability of a healthcare organization.
Cite this Research Publication : M. Suresh and Patri, R., “Agility assessment using fuzzy logic approach: A case of healthcare dispensary”, BMC Health Services Research, vol. 17, 2017.