Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitle13th International Joint Conference on Biomedical Engineering Systems and Technologies; 2020; Valletta, Maltaes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage262es_ES
UDC.grupoInvRedes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)es_ES
UDC.journalTitleProceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF,es_ES
UDC.startPage254es_ES
dc.contributor.authorAlmeida, João Rafael
dc.contributor.authorFigueira Silva, Joáo
dc.contributor.authorPazos, A.
dc.contributor.authorMatos, Sergio
dc.contributor.authorOliveira, José Luís
dc.date.accessioned2020-12-02T14:58:05Z
dc.date.available2020-12-02T14:58:05Z
dc.date.issued2020
dc.description.abstract[Abstract] Hospitalised patients suffering from secondary illnesses that require daily medication typically need personalised treatment. Although clinical guidelines were designed considering those circumstances, existing decision-support features fail in assimilating detailed relevant patient information, which opens up opportunities for systems capable of performing a real-time evaluation of such data against existing knowledge and providing recommendations during clinical treatments. In this paper, we present a proposal for a new feature to integrate with electronic health record (EHR) systems that enriches the health treatment process by automatically extracting information from patient medical notes and aggregating it in clinical protocols. Our goal is to leverage the historical component of the patient trajectory to improve clinical decision support systems performance.es_ES
dc.description.sponsorshipEU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking; 806968es_ES
dc.description.sponsorshipNETDIAMOND project; POCI-01-0145-FEDER-016385es_ES
dc.description.sponsorshipFoundation for Science and Technology; PD/BD/142878/2018es_ES
dc.description.sponsorshipFoundation for Science and Technology; SFRH/BD/147837/2019es_ES
dc.identifier.citationAlmeida, J.; Silva, J.; Sierra, A.; Matos, S. and Oliveira, J. (2020). Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, ISBN 978-989-758-398-8, ISSN 2184-4305, pages 254-262. DOI: 10.5220/0009166902540262es_ES
dc.identifier.doi10.5220/0009166902540262
dc.identifier.isbn978-989-758-398-8, ISSN
dc.identifier.issn2184-4305
dc.identifier.urihttp://hdl.handle.net/2183/26881
dc.language.isoenges_ES
dc.publisherScience and Technology Publicationses_ES
dc.relation.urihttps://doi.org/10.5220/0009166902540262es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 España
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectEHRes_ES
dc.subjectCDSSes_ES
dc.subjectNLPes_ES
dc.subjectClinical noteses_ES
dc.subjectClinical decision-makinges_ES
dc.subjectTreatment guidancees_ES
dc.titleEnhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Noteses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationfa192a4c-bffd-4b23-87ae-e68c29350cdc
relation.isAuthorOfPublication.latestForDiscoveryfa192a4c-bffd-4b23-87ae-e68c29350cdc

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