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A Benchmarking Analysis of Open-Source Business Intelligence Tools in Healthcare Environments

1
Algoritmi Research Centre, Department of Informatics, University of Minho, Braga 4710-057, Portugal
2
Instituto Politécnico do Porto, Escola Superior de Media Artes e Design, Vila do Conde 4480-771, Portugal
3
Algoritmi Research Center, Department of Information Systems, University of Minho, Campus de Azurém, Guimarães 4800-058, Portugal
*
Author to whom correspondence should be addressed.
Academic Editor: Willy Susilo
Information 2016, 7(4), 57; https://doi.org/10.3390/info7040057
Received: 21 July 2016 / Revised: 8 October 2016 / Accepted: 10 October 2016 / Published: 13 October 2016
In recent years, a wide range of Business Intelligence (BI) technologies have been applied to different areas in order to support the decision-making process. BI enables the extraction of knowledge from the data stored. The healthcare industry is no exception, and so BI applications have been under investigation across multiple units of different institutions. Thus, in this article, we intend to analyze some open-source/free BI tools on the market and their applicability in the clinical sphere, taking into consideration the general characteristics of the clinical environment. For this purpose, six BI tools were selected, analyzed, and tested in a practical environment. Then, a comparison metric and a ranking were defined for the tested applications in order to choose the one that best applies to the extraction of useful knowledge and clinical data in a healthcare environment. Finally, a pervasive BI platform was developed using a real case in order to prove the tool viability. View Full-Text
Keywords: Business Intelligence; open-source; healthcare; benchmarking Business Intelligence; open-source; healthcare; benchmarking
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MDPI and ACS Style

Brandão, A.; Pereira, E.; Esteves, M.; Portela, F.; Santos, M.F.; Abelha, A.; Machado, J. A Benchmarking Analysis of Open-Source Business Intelligence Tools in Healthcare Environments. Information 2016, 7, 57.

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