Scientific production about hospitals in the context of Data Science: a study from the Web of Science
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Encontros Bibli |
Texto Completo: | https://periodicos.ufsc.br/index.php/eb/article/view/78824 |
Resumo: | 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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Scientific production about hospitals in the context of Data Science: a study from the Web of ScienceProdução científica sobre hospitais no contexto da ciência de dados: um estudo a partir da web of scienceCiência de DadosBibliometriaWeb of ScienceBig DataMachine LearningData Science BibliometricsWeb of ScienceBig DataMachine LearningObjective: 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 associationsObjetivo: realizar análise bibliométrica sobre as aplicações da ciência de dados no âmbito das organizações hospitalares. Método: por meio de pesquisa na base de dados Web of Science, verificou-se a existência de termos relacionados à ciência de dados, tais como “big data”, “data analytics”, “businesss intelligence”, “data mining”, “data warehouse”, “text mining” e “data science", relacionando-os a hospitais. A análise de dados pautou-se na técnica de análise de redes sociais. O período considerado foi de 2015 a 2019. Resultado: “machine learning” e “electronic health records” despontam como assuntos relevantes. As interações mais expressivas refletem a inclinação da informática médica em assuntos relacionados à tomada de decisão, sistemas de informação para hospitais e unidade de cuidados intensivos. Sobre os campos científicos, nota-se a predominância esperada da área de saúde e dos domínios pertencentes ou fronteiriços à tecnologia. No mais, vê-se que a grande variedade de áreas encontradas acusa a natureza multidisciplinar do assunto, inclusive com importante participação da Ciência da Informação (CI). Em relação à geografia do conhecimento, observa-se um razoável grau de descentralização, havendo produções representativas na América do Norte, Europa e Ásia. Quanto aos veículos de publicação, destaque para os Studies in Health Technology and Informatics, que compreendem uma série de publicações. Os dois periódicos mais representativos da lista, integram, respectivamente, os grupos Springer Nature e Elsevier, grandes players do mercado editorial científico. Conclusões: por fim, evidencia-se a multidisciplinaridade existente em torno do assunto estudado e a relevância da tecnologia para o progresso das organizações hospitalares.Departamento de Ciência da Informação – UFSC2021-10-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsc.br/index.php/eb/article/view/7882410.5007/1518-2924.2021.78824Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 26 No. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-16Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 26 Núm. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-16Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 26 n. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-161518-2924reponame:Encontros Bibliinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCporhttps://periodicos.ufsc.br/index.php/eb/article/view/78824/47431https://periodicos.ufsc.br/index.php/eb/article/view/78824/54026Copyright (c) 2021 Natanael Vitor Sobral, Gillian Leandro de Queiroga Lima, Ana Sara Pereira de Melo Sobralhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSobral, Natanael VitorLima, Gillian Leandro de Queiroga Sobral, Ana Sara Pereira de Melo2023-08-18T20:51:28Zoai:periodicos.ufsc.br:article/78824Revistahttps://periodicos.ufsc.br/index.php/eb/indexPUBhttps://periodicos.ufsc.br/index.php/eb/oaiencontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br1518-29241518-2924opendoar:2023-08-18T20:51:28Encontros Bibli - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science Produção científica sobre hospitais no contexto da ciência de dados: um estudo a partir da web of science |
title |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science |
spellingShingle |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science Sobral, Natanael Vitor Ciência de Dados Bibliometria Web of Science Big Data Machine Learning Data Science Bibliometrics Web of Science Big Data Machine Learning |
title_short |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science |
title_full |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science |
title_fullStr |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science |
title_full_unstemmed |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science |
title_sort |
Scientific production about hospitals in the context of Data Science: a study from the Web of Science |
author |
Sobral, Natanael Vitor |
author_facet |
Sobral, Natanael Vitor Lima, Gillian Leandro de Queiroga Sobral, Ana Sara Pereira de Melo |
author_role |
author |
author2 |
Lima, Gillian Leandro de Queiroga Sobral, Ana Sara Pereira de Melo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Sobral, Natanael Vitor Lima, Gillian Leandro de Queiroga Sobral, Ana Sara Pereira de Melo |
dc.subject.por.fl_str_mv |
Ciência de Dados Bibliometria Web of Science Big Data Machine Learning Data Science Bibliometrics Web of Science Big Data Machine Learning |
topic |
Ciência de Dados Bibliometria Web of Science Big Data Machine Learning Data Science Bibliometrics Web of Science Big Data Machine Learning |
description |
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 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsc.br/index.php/eb/article/view/78824 10.5007/1518-2924.2021.78824 |
url |
https://periodicos.ufsc.br/index.php/eb/article/view/78824 |
identifier_str_mv |
10.5007/1518-2924.2021.78824 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsc.br/index.php/eb/article/view/78824/47431 https://periodicos.ufsc.br/index.php/eb/article/view/78824/54026 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Departamento de Ciência da Informação – UFSC |
publisher.none.fl_str_mv |
Departamento de Ciência da Informação – UFSC |
dc.source.none.fl_str_mv |
Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 26 No. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-16 Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 26 Núm. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-16 Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 26 n. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-16 1518-2924 reponame:Encontros Bibli instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
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Universidade Federal de Santa Catarina (UFSC) |
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UFSC |
institution |
UFSC |
reponame_str |
Encontros Bibli |
collection |
Encontros Bibli |
repository.name.fl_str_mv |
Encontros Bibli - Universidade Federal de Santa Catarina (UFSC) |
repository.mail.fl_str_mv |
encontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br |
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