A benchmarking analysis of open-source business intelligence tools in healthcare environments
Main Author: | |
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Publication Date: | 2016 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.22/9959 |
Summary: | 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. |
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A benchmarking analysis of open-source business intelligence tools in healthcare environmentsBusiness IntelligenceOpen-sourceHealthcareBenchmarkingIn 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.MDPIREPOSITÓRIO P.PORTOBrandão, AndreiaPereira, ElianaEsteves, MarisaPortela, Carlos FilipeSantos, Manuel FilipeAbelha, AntónioMachado, José2017-06-28T10:30:35Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/9959eng10.3390/info7040057info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:19:24Zoai:recipp.ipp.pt:10400.22/9959Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:48:25.005210Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
title |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
spellingShingle |
A benchmarking analysis of open-source business intelligence tools in healthcare environments Brandão, Andreia Business Intelligence Open-source Healthcare Benchmarking |
title_short |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
title_full |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
title_fullStr |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
title_full_unstemmed |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
title_sort |
A benchmarking analysis of open-source business intelligence tools in healthcare environments |
author |
Brandão, Andreia |
author_facet |
Brandão, Andreia Pereira, Eliana Esteves, Marisa Portela, Carlos Filipe Santos, Manuel Filipe Abelha, António Machado, José |
author_role |
author |
author2 |
Pereira, Eliana Esteves, Marisa Portela, Carlos Filipe Santos, Manuel Filipe Abelha, António Machado, José |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
dc.contributor.author.fl_str_mv |
Brandão, Andreia Pereira, Eliana Esteves, Marisa Portela, Carlos Filipe Santos, Manuel Filipe Abelha, António Machado, José |
dc.subject.por.fl_str_mv |
Business Intelligence Open-source Healthcare Benchmarking |
topic |
Business Intelligence Open-source Healthcare Benchmarking |
description |
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. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2016-01-01T00:00:00Z 2017-06-28T10:30:35Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/9959 |
url |
http://hdl.handle.net/10400.22/9959 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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10.3390/info7040057 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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MDPI |
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MDPI |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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