Cargando…
A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions
Healthcare Industry 4.0 refers to intelligent operation processes in the medical industry. With the development of information technology, large-scale group decision making (GDM), which allows a larger number of decision makers (DMs) from different places or sectors to participate in decision making...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727077/ https://www.ncbi.nlm.nih.gov/pubmed/35002080 http://dx.doi.org/10.1007/s10489-021-02909-y |
_version_ | 1784626437882380288 |
---|---|
author | Lu, Keyu Liao, Huchang |
author_facet | Lu, Keyu Liao, Huchang |
author_sort | Lu, Keyu |
collection | PubMed |
description | Healthcare Industry 4.0 refers to intelligent operation processes in the medical industry. With the development of information technology, large-scale group decision making (GDM), which allows a larger number of decision makers (DMs) from different places or sectors to participate in decision making, has been rapidly developed and applied in Healthcare Industry 4.0 to help to make decisions efficiently and smartly. To make full use of GDM methods to promote the developments of the medical industry, it is necessary to review the existing relevant achievements. Therefore, this paper conducts an overview to generate a comprehensive understanding of GDM in Healthcare Industry 4.0 and to identify future development directions. Bibliometric analyses are conducted in order to learn the development trends from published papers. The implementations of GDM methods in Healthcare Industry 4.0 are reviewed in accordance with the paradigm of the general GDM process, which includes information representation, dimension reduction, consensus reaching, and result elicitation. We also provide current research challenges and future directions regarding medical GDM. It is hoped that our study will be helpful for researchers in the field of GDM in Healthcare Industry 4.0. |
format | Online Article Text |
id | pubmed-8727077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-87270772022-01-05 A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions Lu, Keyu Liao, Huchang Appl Intell (Dordr) Article Healthcare Industry 4.0 refers to intelligent operation processes in the medical industry. With the development of information technology, large-scale group decision making (GDM), which allows a larger number of decision makers (DMs) from different places or sectors to participate in decision making, has been rapidly developed and applied in Healthcare Industry 4.0 to help to make decisions efficiently and smartly. To make full use of GDM methods to promote the developments of the medical industry, it is necessary to review the existing relevant achievements. Therefore, this paper conducts an overview to generate a comprehensive understanding of GDM in Healthcare Industry 4.0 and to identify future development directions. Bibliometric analyses are conducted in order to learn the development trends from published papers. The implementations of GDM methods in Healthcare Industry 4.0 are reviewed in accordance with the paradigm of the general GDM process, which includes information representation, dimension reduction, consensus reaching, and result elicitation. We also provide current research challenges and future directions regarding medical GDM. It is hoped that our study will be helpful for researchers in the field of GDM in Healthcare Industry 4.0. Springer US 2022-01-05 2022 /pmc/articles/PMC8727077/ /pubmed/35002080 http://dx.doi.org/10.1007/s10489-021-02909-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Lu, Keyu Liao, Huchang A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions |
title | A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions |
title_full | A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions |
title_fullStr | A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions |
title_full_unstemmed | A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions |
title_short | A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions |
title_sort | survey of group decision making methods in healthcare industry 4.0: bibliometrics, applications, and directions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727077/ https://www.ncbi.nlm.nih.gov/pubmed/35002080 http://dx.doi.org/10.1007/s10489-021-02909-y |
work_keys_str_mv | AT lukeyu asurveyofgroupdecisionmakingmethodsinhealthcareindustry40bibliometricsapplicationsanddirections AT liaohuchang asurveyofgroupdecisionmakingmethodsinhealthcareindustry40bibliometricsapplicationsanddirections AT lukeyu surveyofgroupdecisionmakingmethodsinhealthcareindustry40bibliometricsapplicationsanddirections AT liaohuchang surveyofgroupdecisionmakingmethodsinhealthcareindustry40bibliometricsapplicationsanddirections |