Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/68019
Título: | Adaptive business intelligence: a new architectural approach |
Autor(es): | Lopes, João António Araújo Guimarães, Tiago Santos, Manuel Filipe |
Palavras-chave: | Adaptive Business Intelligence Healthcare Architecture |
Data: | 2020 |
Editora: | Elsevier 1 |
Revista: | Procedia 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/68019 |
DOI: | 10.1016/j.procs.2020.10.075 |
ISSN: | 1877-0509 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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HODII2020_ABI.pdf | 228,55 kB | Adobe PDF | Ver/Abrir |
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