Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/65908
Título: | Adaptive business intelligence in healthcare - A platform for optimising surgeries |
Autor(es): | Ferreira, José Portela, Filipe Machado, José Manuel Santos, Manuel |
Palavras-chave: | Adaptive business intelligence Decision support systems |
Data: | 2019 |
Editora: | Springer Verlag |
Revista: | Advances in Intelligent Systems and Computing |
Resumo(s): | Adaptive Business Intelligence (ABI) combines predictive with prospective analytics in order to give support to the decision making process. Surgery scheduling in hospital operating rooms is a high complex task due to huge volume of surgeries and the variety of combinations and constraints. This type of activity is critical and is often associated to constant delays and significant rescheduling. The main task of this work is to provide an ABI based platform capable of estimating the time of the surgeries and then optimising the scheduling (minimizing the waste of resources). Combining operational data with analytical tools this platform is able to present complex and competitive information to streamline surgery scheduling. A case study was explored using data from a portuguese hospital. The best achieved relative absolute error attained was 6.22%. The paper also shows that the approach can be used in more general applications. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/65908 |
ISBN: | 9783030161866 |
DOI: | 10.1007/978-3-030-16187-3_59 |
ISSN: | 2194-5357 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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PIS_WCIST_2019_55.pdf | 478,66 kB | Adobe PDF | Ver/Abrir |