Cargando…

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

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 asse...

Descripción completa

Detalles Bibliográficos
Autores principales: Suresh, M., Patri, Rojalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466760/
https://www.ncbi.nlm.nih.gov/pubmed/28599646
http://dx.doi.org/10.1186/s12913-017-2332-y
_version_ 1783243155034865664
author Suresh, M.
Patri, Rojalin
author_facet Suresh, M.
Patri, Rojalin
author_sort Suresh, M.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5466760
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-54667602017-06-14 Agility assessment using fuzzy logic approach: a case of healthcare dispensary Suresh, M. Patri, Rojalin BMC Health Serv Res Research Article 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. BioMed Central 2017-06-09 /pmc/articles/PMC5466760/ /pubmed/28599646 http://dx.doi.org/10.1186/s12913-017-2332-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Suresh, M.
Patri, Rojalin
Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title 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_short Agility assessment using fuzzy logic approach: a case of healthcare dispensary
title_sort agility assessment using fuzzy logic approach: a case of healthcare dispensary
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5466760/
https://www.ncbi.nlm.nih.gov/pubmed/28599646
http://dx.doi.org/10.1186/s12913-017-2332-y
work_keys_str_mv AT sureshm agilityassessmentusingfuzzylogicapproachacaseofhealthcaredispensary
AT patrirojalin agilityassessmentusingfuzzylogicapproachacaseofhealthcaredispensary