Artículo

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

Resumen

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.
Pessin, Vilker Zucolotto (57696881500); Santos, Celso Alberto Saibel (55430678200); Yamane, Luciana Haure (58582880800); Siman, Renato Ribeiro (57211910057); Baldam, Roquemar de Lima (57556711100); Júnior, Valdemar Lacerda (57217776461)
A method of Mapping Process for scientific production using the Smart Bibliometrics
2023
10.1016/j.mex.2023.102367
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171335484&doi=10.1016%2fj.mex.2023.102367&partnerID=40&md5=444d5e65234fa297fcb01e070cdb3b36
Department of Informatics, Federal University of Espírito Santo, Av. Fernando Ferrari, 514, Espírito Santo, Vitória, 29075-910, Brazil
All Open Access; Green Open Access
Scopus
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