A computer-based approach for data analyzing in hospital’s health-care waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models

Baghapour, Mohammad Ali; Shooshtarian, Mohammad Reza; Javaheri, Masoumeh; Dehghanifard, Sina; Sefidkar, Razieh; Nobandegani, Amir Fadaei

doi:10.1016/j.ijmedinf.2018.07.001

Cited by 37 publications

(21 citation statements)

References 19 publications

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“…Due to the potential infectiousness and danger of medical waste, its disposal should be taken seriously. [ 26 , 27 , 42 , 46 , 47 , 50 , 52 , 68 , 117 , 118 , 125 , 135 , 136 ] all studied healthcare waste management.…”

Section: The Applications Of Gdm Methods In Healthcare Industry 40mentioning

confidence: 99%

RETRACTED ARTICLE: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

Liao

2022

Appl Intell

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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.

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Section: The Applications Of Gdm Methods In Healthcare Industry 40mentioning

confidence: 99%

RETRACTED ARTICLE: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

Liao

2022

Appl Intell

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“…BDA can support the optimization of hospital operations ( n =7). Procurement [ 54 ], waste-management [ 69 ] or equipment management [ 70 ] can benefit from the use of BDA techniques.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, the contribution of BDA to managerial and strategic benefits are expected in respectively 52 and 26 articles. The optimization of resource management [ 44 , 54 , 69 , 88 ] is the main managerial impact considered in the reviewed articles ( n =31), followed by performance improvement ( n =22) [ 30 , 48 , 89 ] and improved decision-making ( n =18) [ 90 – 92 ].…”

Section: Resultsmentioning

confidence: 99%

The path from big data analytics capabilities to value in hospitals: a scoping review

Brossard

Minvielle

Sicotte

2022

BMC Health Serv Res

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Background As the uptake of health information technologies increased, most healthcare organizations have become producers of big data. A growing number of hospitals are investing in the development of big data analytics (BDA) capabilities. If the promises associated with these capabilities are high, how hospitals create value from it remains unclear. The present study undertakes a scoping review of existing research on BDA use in hospitals to describe the path from BDA capabilities (BDAC) to value and its associated challenges. Methods This scoping review was conducted following Arksey and O’Malley’s 5 stages framework. A systematic search strategy was adopted to identify relevant articles in Scopus and Web of Science. Data charting and extraction were performed following an analytical framework that builds on the resource-based view of the firm to describe the path from BDA capabilities to value in hospitals. Results Of 1,478 articles identified, 94 were included. Most of them are experimental research (n=69) published in medical (n=66) or computer science journals (n=28). The main value targets associated with the use of BDA are improving the quality of decision-making (n=56) and driving innovation (n=52) which apply mainly to care (n=67) and administrative (n=48) activities. To reach these targets, hospitals need to adequately combine BDA capabilities and value creation mechanisms (VCM) to enable knowledge generation and drive its assimilation. Benefits are endpoints of the value creation process. They are expected in all articles but realized in a few instances only (n=19). Conclusions This review confirms the value creation potential of BDA solutions in hospitals. It also shows the organizational challenges that prevent hospitals from generating actual benefits from BDAC-building efforts. The configuring of strategies, technologies and organizational capabilities underlying the development of value-creating BDA solutions should become a priority area for research, with focus on the mechanisms that can drive the alignment of BDA and organizational strategies, and the development of organizational capabilities to support knowledge generation and assimilation.

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“…Em relação aos objetivos propostos nos estudos analisados, 63,1% buscavam avaliar as fases do GRSS, facilitando a visualização das possíveis falhas no processo de manejo dos resíduos e quais melhorias poderiam ser implantadas. Além disso, 10,5% apresentavam uma proposta de intervenção onde visava analisar "pré e pós" para implantação (BAGHAPOUR et al, 2018).…”

Section: Resultsunclassified

Avaliação Do Manejo Químico De Herbicida Para Controle De Soja E Algodão Resistentes a Glyphosate

Medrado¹,

Medeiros²,

Oliveira³

et al. 2021

O Meio Ambiente E a Interface Dos Sistemas Social E Natural 3

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Direitos para esta edição cedidos à Atena Editora pelos autores.Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons.Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0). O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação com base em critérios de neutralidade e imparcialidade acadêmica.A Atena Editora é comprometida em garantir a integridade editorial em todas as etapas do processo de publicação, evitando plágio, dados ou resultados fraudulentos e impedindo que interesses financeiros comprometam os padrões éticos da publicação. Situações suspeitas de má conduta científica serão investigadas sob o mais alto padrão de rigor acadêmico e ético.

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A computer-based approach for data analyzing in hospital’s health-care waste management sector by developing an index using consensus-based fuzzy multi-criteria group decision-making models

Cited by 37 publications

References 19 publications

RETRACTED ARTICLE: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

RETRACTED ARTICLE: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions

The path from big data analytics capabilities to value in hospitals: a scoping review

Avaliação Do Manejo Químico De Herbicida Para Controle De Soja E Algodão Resistentes a Glyphosate

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