Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/89572

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dc.contributor.authorSilva, Beatrizpor
dc.contributor.authorHak, Francinipor
dc.contributor.authorSantos, Manuelpor
dc.contributor.authorAbelha, Antóniopor
dc.date.accessioned2024-03-15T08:27:23Z-
dc.date.available2024-03-15T08:27:23Z-
dc.date.issued2024-
dc.identifier.issn1877-0509-
dc.identifier.urihttps://hdl.handle.net/1822/89572-
dc.description.abstractIn clinical decision-making, data are fundamental elements for extracting knowledge for knowledge-based systems. Clinical Decision Support Systems (CDSS) need to ensure that stored data are semantically interoperable to, in turn, represent clinical knowledge and improve the quality of healthcare delivery. The openEHR standard provides a set of specifications that allow health information systems to manage electronic health records in a structured and standardized format. Therefore, this article aims to present a decision support tool capable of creating decision rules, including rules, decision tables, and scores. based on the decision language specifications of the openEHR.por
dc.description.sponsorshipThis research was funded by Fundação para a Ciência e Tecnologia, within the Project Scope: UIDB/00319/2020. Francini Hak thanks the Fundac¸ao para a Tecnologia (FCT) for the grant 2021.06230.BDpor
dc.language.isoengpor
dc.publisherElsevierpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/POR_NORTE/2021.06230.BD/PTpor
dc.rightsopenAccesspor
dc.subjectClinical decision support systempor
dc.subjectDecision languagepor
dc.subjectDecision logicpor
dc.subjectElectronic health recordspor
dc.subjectOpenEHRpor
dc.titleOpenEHR logic module: a tool for creating decision rulespor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S187705092302241Xpor
oaire.citationStartPage427por
oaire.citationEndPage432por
oaire.citationVolume231por
dc.identifier.doi10.1016/j.procs.2023.12.229por
sdum.journalProcedia Computer Sciencepor
sdum.conferencePublication14th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 13th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (EUSPN/ICTH 2023)por
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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