Agility assessment using fuzzy logic approach: a case of healthcare dispensary

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...

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Main Authors: M. Suresh, Rojalin Patri
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Health Services Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12913-017-2332-y
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spelling doaj-23b16bc59756451b85cf72292660c7472020-11-24T22:22:23ZengBMCBMC Health Services Research1472-69632017-06-0117111310.1186/s12913-017-2332-yAgility assessment using fuzzy logic approach: a case of healthcare dispensaryM. Suresh0Rojalin Patri1Amrita School of Business, Amrita Vishwa Vidyapeetham, Amrita UniversityResearch Scholar, Amrita School of Business, Amrita Vishwa Vidyapeetham, Amrita UniversityAbstract 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.http://link.springer.com/article/10.1186/s12913-017-2332-yHealthcare agilityDispensary operationsAgility assessmentFuzzy agile index
collection DOAJ
language English
format Article
sources DOAJ
author M. Suresh
Rojalin Patri
spellingShingle M. Suresh
Rojalin Patri
Agility assessment using fuzzy logic approach: a case of healthcare dispensary
BMC Health Services Research
Healthcare agility
Dispensary operations
Agility assessment
Fuzzy agile index
author_facet M. Suresh
Rojalin Patri
author_sort M. Suresh
title Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title_short Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title_full Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title_fullStr Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title_full_unstemmed Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title_sort agility assessment using fuzzy logic approach: a case of healthcare dispensary
publisher BMC
series BMC Health Services Research
issn 1472-6963
publishDate 2017-06-01
description 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.
topic Healthcare agility
Dispensary operations
Agility assessment
Fuzzy agile index
url http://link.springer.com/article/10.1186/s12913-017-2332-y
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