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Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model

BACKGROUND: The hospital ward system is the core service unit of a hospital and an important aspect of hospital management. The maturity of the hospital ward system represents the level of development and improvement in ward management and services. In order to improve the quality of hospital servic...

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Autores principales: Li, Lan, Tong, Junping, Wang, Huan, Ren, Ruihua, Xiong, Luning, Wang, Jiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627654/
https://www.ncbi.nlm.nih.gov/pubmed/37932975
http://dx.doi.org/10.1097/MD.0000000000035752
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author Li, Lan
Tong, Junping
Wang, Huan
Ren, Ruihua
Xiong, Luning
Wang, Jiyun
author_facet Li, Lan
Tong, Junping
Wang, Huan
Ren, Ruihua
Xiong, Luning
Wang, Jiyun
author_sort Li, Lan
collection PubMed
description BACKGROUND: The hospital ward system is the core service unit of a hospital and an important aspect of hospital management. The maturity of the hospital ward system represents the level of development and improvement in ward management and services. In order to improve the quality of hospital services, it is significant to assess the maturity of the ward system. Although various assessment methods have been proposed in existing studies, there are some issues such as a single-dimensional factor system, subjectivity in qualitative factor values, and insufficient objectivity in the evaluation methods. METHODS: Therefore, based on the data collection of the factors used in the existing literature, this study made correlation analysis, determined the similarity of factors, and established a maturity assessment factor system satisfying distinctiveness and comprehensiveness. Furthermore, an evaluation method for the weights of each factor was proposed based on the fuzzy analytic hierarchy process, while taking account of the ambiguity of expert information. In addition, through the technique for order of preference by similarity to ideal solution method, an objective evaluation method for the maturity of the hospital ward system was established. Finally, a case study involving 6 hospitals in a specific location was conducted. RESULTS: There are a total of 16 factors used to assess the maturity of the hospital ward system, among which the most important is Doctor service. The maturity degree of the 6 researched hospitals are 0.4517, 0.0035, 0.4254, 0.8681, 0.6636, 0.1586, and the maturity degree of the 6 researched hospitals are II, I, II, IV, III, I. CONCLUSION: The factor system constructed in this study effectively reflected the importance of human-related factors in the development process of ward system. The evaluation results were consistent with the actual situation, demonstrating the effectiveness of the proposed method.
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spelling pubmed-106276542023-11-07 Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model Li, Lan Tong, Junping Wang, Huan Ren, Ruihua Xiong, Luning Wang, Jiyun Medicine (Baltimore) 6600 BACKGROUND: The hospital ward system is the core service unit of a hospital and an important aspect of hospital management. The maturity of the hospital ward system represents the level of development and improvement in ward management and services. In order to improve the quality of hospital services, it is significant to assess the maturity of the ward system. Although various assessment methods have been proposed in existing studies, there are some issues such as a single-dimensional factor system, subjectivity in qualitative factor values, and insufficient objectivity in the evaluation methods. METHODS: Therefore, based on the data collection of the factors used in the existing literature, this study made correlation analysis, determined the similarity of factors, and established a maturity assessment factor system satisfying distinctiveness and comprehensiveness. Furthermore, an evaluation method for the weights of each factor was proposed based on the fuzzy analytic hierarchy process, while taking account of the ambiguity of expert information. In addition, through the technique for order of preference by similarity to ideal solution method, an objective evaluation method for the maturity of the hospital ward system was established. Finally, a case study involving 6 hospitals in a specific location was conducted. RESULTS: There are a total of 16 factors used to assess the maturity of the hospital ward system, among which the most important is Doctor service. The maturity degree of the 6 researched hospitals are 0.4517, 0.0035, 0.4254, 0.8681, 0.6636, 0.1586, and the maturity degree of the 6 researched hospitals are II, I, II, IV, III, I. CONCLUSION: The factor system constructed in this study effectively reflected the importance of human-related factors in the development process of ward system. The evaluation results were consistent with the actual situation, demonstrating the effectiveness of the proposed method. Lippincott Williams & Wilkins 2023-11-03 /pmc/articles/PMC10627654/ /pubmed/37932975 http://dx.doi.org/10.1097/MD.0000000000035752 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 6600
Li, Lan
Tong, Junping
Wang, Huan
Ren, Ruihua
Xiong, Luning
Wang, Jiyun
Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model
title Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model
title_full Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model
title_fullStr Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model
title_full_unstemmed Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model
title_short Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model
title_sort maturity degree assessment of hospital ward system using integrated fuzzy ahp-topsis model
topic 6600
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627654/
https://www.ncbi.nlm.nih.gov/pubmed/37932975
http://dx.doi.org/10.1097/MD.0000000000035752
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