Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/67906

TítuloPervasive business intelligence in misericordias – A portuguese case study
Autor(es)Coelho, Danilo
Guimarães, Tiago André Saraiva
Portela, Filipe
Santos, Manuel
Machado, José
Abelha, António
Palavras-chaveBusiness intelligence
Dashboards
Data mart
Misericórdia
Pervasive HealthCare
Data2018
EditoraSpringer Verlag
RevistaCommunications in Computer and Information Science
Resumo(s)The healthcare system is one of the main pillars of any society. However, it carries with it an enormous economic weight. Portugal, alongside with many others, is a country in economic and social restructuration and consequently, the need to increase the efficiency of resource management and services is imperative. With the proven effectiveness of Business Intelligence (BI) in many organisations, the urge to implement such tools in Healthcare arises, specifically in the healthcare of Misericórdia. In addition to the results, it presents a critical analysis of the implementation and the process followed for the development and usage of KPIs. In this work, some concepts associated with the use of BI in Misericórdias were addressed, and the architecture of the developed solution was designed. It is also important to emphasise that the solution presented is pervasive, available anywhere at any time. Through this work, it was possible to gather all the data into a single structure (Data Mart), to identify a set of aspects that can be improved and to have a generalised view of the state of operation of the organisation, as far as health care is concerned. The developed includes ten KPIs in the area of Surgery Production and Waiting List Surgery. The dashboards can be analysed in several dimensions: date, specialities, physicians, service, diagnosis, location and time.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/67906
ISBN9783319936437
DOI10.1007/978-3-319-93644-4_5
ISSN1865-0929
Versão da editorahttps://link.springer.com/chapter/10.1007%2F978-3-319-93644-4_5
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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