Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68019

TítuloAdaptive business intelligence: a new architectural approach
Autor(es)Lopes, João António Araújo
Guimarães, Tiago
Santos, Manuel Filipe
Palavras-chaveAdaptive Business Intelligence
Healthcare
Architecture
Data2020
EditoraElsevier 1
RevistaProcedia Computer Science
Resumo(s)Healthcare systems face enormous challenges, fundamentally due to the amount of data generated daily in a hospital environment, which forces entities to reflect on how to organize and use the same data. Currently, the number of studies at this level is growing, focusing on the innovation to be implemented, so that this same sector can adopt new methodologies, architectures and technologies that allow a more efficient support of existing hospital processes, as well as the results to be provided to all professionals involved in this area. In this research, an Adaptive Business Intelligence architecture is proposed, whose contribution was supported by the realization of an adequate conceptual and technological framework describing its development at different levels. Thus, a possible modernization of several working methods is initiated, with the introduction of an architecture capable of contributing to several factors, both at clinical and administrative levels, meeting the needs of a hospital system, regarding the design, development, implementation and demonstration of results.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/68019
DOI10.1016/j.procs.2020.10.075
ISSN1877-0509
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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