OpenEHR and business intelligence in healthcare: an overview
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , |
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. |
id |
RCAP_cfbaa68f51cf49774214ff52e5cd183e |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/89591 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
format |
article |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799138186678501376 |