Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/89591

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dc.contributor.authorCunha, João Carlos Soarespor
dc.contributor.authorDuarte, Ricardo Jorge Silvapor
dc.contributor.authorGuimarães, Tiago André Saraivapor
dc.contributor.authorSantos, Manuelpor
dc.date.accessioned2024-03-15T12:10:59Z-
dc.date.available2024-03-15T12:10:59Z-
dc.date.issued2023-
dc.identifier.urihttps://hdl.handle.net/1822/89591-
dc.description.abstractHealthcare 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.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.publisherElsevier 1por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/por
dc.subjectOpenEHRpor
dc.subjectBusiness intelligencepor
dc.subjectElectronic health recordpor
dc.subjectHealthcarepor
dc.titleOpenEHR and business intelligence in healthcare: an overviewpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050923006531por
oaire.citationStartPage874por
oaire.citationEndPage879por
oaire.citationVolume220por
dc.identifier.eissn1877-0509-
dc.identifier.doi10.1016/j.procs.2023.03.118por
sdum.journalProcedia Computer Sciencepor
sdum.conferencePublicationThe 4th International Workshop on Hospital 4.0 (Hospital) March 15-17, 2023, Leuven, Belgiumpor
oaire.versionVoRpor
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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