Scientific production about hospitals in the context of Data Science: a study from the Web of Science

Authors

DOI:

https://doi.org/10.5007/1518-2924.2021.78824

Keywords:

Data Science, Bibliometrics, Web of Science, Big Data, Machine Learning

Abstract

Objective: to carry out the bibliometric analysis on the applications of Data Science in the context of hospital associations.

Methods: Through research in the Web of Science database, it was verified the existence of terms related to Data Science, such as, big data, data analysis, businesss intelligence, data mining, data warehouse, text mining and data science, relating them to hospitals. Data analysis was based on the social network analysis technique. The period considered was from 2015 to 2019.

Results: Machine learning and electronic health records emerge as relevant issues. The most expressive interactions reflect the inclination of Medical Informatics in matters related to decision making, information systems for hospitals and intensive care units. Regarding the fields, it is noted the expected predominance of the Health area and of the domains belonging or bordering on Technology. In addition, it can be seen that the wide variety of areas found accuses the interdisciplinary nature of the subject, including, with an important participation of Information Science. Regarding the geography of knowledge, there is a reasonable degree of decentralization, with representative productions in North America, Europe and Asia. As for the publication vehicles, emphasis is given to Studies in Informatics and Health Technology, which comprise a series of publications. The two most representative journals on the list are, respectively, members of the Springer Nature and Elsevier groups, major players in the scientific publishing market.

Conclusions: Finally, there is evidence of the multidisciplinarity around the subject studied and the technology company for the progress of hospital associations

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Author Biographies

Natanael Vitor Sobral, Instituto de Ciência da Informação da Universidade Federal da Bahia

Bacharel em Gestão da Informação pela Universidade Federal de Pernambuco (UFPE), Especialista em Administração de Marketing pela Faculdade de Ciências Administrativas da Universidade de Pernambuco (FCAP/UPE), Mestre em Ciência da Informação pela UFPE e Doutor em Ciência da Informação pela Universidade Federal da Bahia (UFBA). Atualmente é Professor do Instituto de Ciência da Informação da UFBA.

Gillian Leandro de Queiroga Lima, Universidade Federal da Bahia

outor em Difusão do Conhecimento pelo Programa de Doutorado Multi-Institucional e Multidisciplinar em Difusão do Conhecimento - DMMDC/UFBA. Possui Bacharelado em Arquivologia pela Universidade Federal da Bahia (UFBA), Pós-graduação no MBA em Gestão da Informação da Universidade Salvador (UNIFACS) e Mestrado em Ciência da Informação pelo Instituto de Ciência da Informação da UFBA. Atualmente é Professor Adjunto da UFBA e Chefe do Departamento de Fundamentos e Processos Informacionais (DFPI) do Instituto de Ciência da Informação da UFBA. Integrante do Grupo Temático Informação, Saúde e População da Associação Brasileira de Saúde Coletiva (GTISP/Abrasco) e do Grupo de Estudos de Políticas de Informação, Comunicações e Conhecimento (GEPICC). Possui experiência em pesquisas na área de teorias arquivísticas, informações em saúde, gestão de arquivos e serviços arquivísticos, gestão de documentos e em organização de arquivos.

Ana Sara Pereira de Melo Sobral, Instituto Federal Baiano

Mestre em Ciência da Informação pela Universidade Federal da Bahia (UFBA); Especialista em Gestão de Biblioteca Públicas pela Universidade Cândido Mendes; Graduada em Biblioteconomia e Documentação (UFBA). Bibliotecária no Instituto Federal Baiano.

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Published

2021-10-08

How to Cite

SOBRAL, Natanael Vitor; LIMA, Gillian Leandro de Queiroga; SOBRAL, Ana Sara Pereira de Melo. Scientific production about hospitals in the context of Data Science: a study from the Web of Science. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, [S. l.], v. 26, n. Especial, p. 1–16, 2021. DOI: 10.5007/1518-2924.2021.78824. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/78824. Acesso em: 8 nov. 2024.

Issue

Vol. 26 No. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica

Section

Special document

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Copyright (c) 2021 Natanael Vitor Sobral, Gillian Leandro de Queiroga Lima, Ana Sara Pereira de Melo Sobral

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