OpenEHR and business intelligence in healthcare: an overview

Detalhes bibliográficos
Autor(a) principal: Cunha, João Carlos Soares
Data de Publicação: 2023
Outros Autores: Duarte, Ricardo Jorge Silva, Guimarães, Tiago André Saraiva, Santos, Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/89591
Resumo: Healthcare systems are a constant concern in today's society. The healthcare sector, like any other, collects a large amount of information on a daily basis. This information has recently been stored in electronic health records, the EHR. These records are a way to store a patient's information electronically, consequently improving its availability for better management in the institution. On the other hand, it is important to realise that there is an interoperability in this data, since there is a large interaction of various systems, and it is important to ensure interaction between these systems. To combat this interoperability problem, OpenEHR modelling emerges. To improve the management of the existing information in these records, it is interesting to integrate with Business Intelligence. Therefore, the objective of this article is to present an overview of OpenEHR and Business Intelligence systems, as more specific to health sector.
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spelling OpenEHR and business intelligence in healthcare: an overviewOpenEHRBusiness intelligenceElectronic health recordHealthcareHealthcare systems are a constant concern in today's society. The healthcare sector, like any other, collects a large amount of information on a daily basis. This information has recently been stored in electronic health records, the EHR. These records are a way to store a patient's information electronically, consequently improving its availability for better management in the institution. On the other hand, it is important to realise that there is an interoperability in this data, since there is a large interaction of various systems, and it is important to ensure interaction between these systems. To combat this interoperability problem, OpenEHR modelling emerges. To improve the management of the existing information in these records, it is interesting to integrate with Business Intelligence. Therefore, the objective of this article is to present an overview of OpenEHR and Business Intelligence systems, as more specific to health sector.(undefined)ElsevierUniversidade do MinhoCunha, João Carlos SoaresDuarte, Ricardo Jorge SilvaGuimarães, Tiago André SaraivaSantos, Manuel20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/89591eng1877-050910.1016/j.procs.2023.03.118https://www.sciencedirect.com/science/article/pii/S1877050923006531info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-16T01:22:50Zoai:repositorium.sdum.uminho.pt:1822/89591Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:14.647790Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv OpenEHR and business intelligence in healthcare: an overview
title OpenEHR and business intelligence in healthcare: an overview
spellingShingle OpenEHR and business intelligence in healthcare: an overview
Cunha, João Carlos Soares
OpenEHR
Business intelligence
Electronic health record
Healthcare
title_short OpenEHR and business intelligence in healthcare: an overview
title_full OpenEHR and business intelligence in healthcare: an overview
title_fullStr OpenEHR and business intelligence in healthcare: an overview
title_full_unstemmed OpenEHR and business intelligence in healthcare: an overview
title_sort OpenEHR and business intelligence in healthcare: an overview
author Cunha, João Carlos Soares
author_facet Cunha, João Carlos Soares
Duarte, Ricardo Jorge Silva
Guimarães, Tiago André Saraiva
Santos, Manuel
author_role author
author2 Duarte, Ricardo Jorge Silva
Guimarães, Tiago André Saraiva
Santos, Manuel
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Cunha, João Carlos Soares
Duarte, Ricardo Jorge Silva
Guimarães, Tiago André Saraiva
Santos, Manuel
dc.subject.por.fl_str_mv OpenEHR
Business intelligence
Electronic health record
Healthcare
topic OpenEHR
Business intelligence
Electronic health record
Healthcare
description Healthcare systems are a constant concern in today's society. The healthcare sector, like any other, collects a large amount of information on a daily basis. This information has recently been stored in electronic health records, the EHR. These records are a way to store a patient's information electronically, consequently improving its availability for better management in the institution. On the other hand, it is important to realise that there is an interoperability in this data, since there is a large interaction of various systems, and it is important to ensure interaction between these systems. To combat this interoperability problem, OpenEHR modelling emerges. To improve the management of the existing information in these records, it is interesting to integrate with Business Intelligence. Therefore, the objective of this article is to present an overview of OpenEHR and Business Intelligence systems, as more specific to health sector.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/89591
url https://hdl.handle.net/1822/89591
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1877-0509
10.1016/j.procs.2023.03.118
https://www.sciencedirect.com/science/article/pii/S1877050923006531
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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