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Pervasive Business Intelligence in Misericordias – A Portuguese Case Study

  • Danilo Coelho
  • Tiago Guimarães
  • Filipe PortelaEmail author
  • Manuel Filipe Santos
  • José Machado
  • António Abelha
Conference paper
  • 231 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 869)

Abstract

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.

Keywords

Business intelligence Misericórdia Data mart Pervasive HealthCare Dashboards 

Notes

Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Danilo Coelho
    • 1
  • Tiago Guimarães
    • 1
  • Filipe Portela
    • 1
    Email author
  • Manuel Filipe Santos
    • 1
  • José Machado
    • 1
  • António Abelha
    • 1
  1. 1.Algoritmi Research CentreUniversity of MinhoGuimarães, BragaPortugal

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