Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | 13th International Joint Conference on Biomedical Engineering Systems and Technologies; 2020; Valletta, Malta | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.endPage | 262 | es_ES |
| UDC.grupoInv | Redes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR) | es_ES |
| UDC.journalTitle | Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, | es_ES |
| UDC.startPage | 254 | es_ES |
| dc.contributor.author | Almeida, João Rafael | |
| dc.contributor.author | Figueira Silva, Joáo | |
| dc.contributor.author | Pazos, A. | |
| dc.contributor.author | Matos, Sergio | |
| dc.contributor.author | Oliveira, José Luís | |
| dc.date.accessioned | 2020-12-02T14:58:05Z | |
| dc.date.available | 2020-12-02T14:58:05Z | |
| dc.date.issued | 2020 | |
| 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.sponsorship | EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking; 806968 | es_ES |
| dc.description.sponsorship | NETDIAMOND project; POCI-01-0145-FEDER-016385 | es_ES |
| dc.description.sponsorship | Foundation for Science and Technology; PD/BD/142878/2018 | es_ES |
| dc.description.sponsorship | Foundation for Science and Technology; SFRH/BD/147837/2019 | es_ES |
| dc.identifier.citation | Almeida, 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: 10.5220/0009166902540262 | es_ES |
| dc.identifier.doi | 10.5220/0009166902540262 | |
| dc.identifier.isbn | 978-989-758-398-8, ISSN | |
| dc.identifier.issn | 2184-4305 | |
| dc.identifier.uri | http://hdl.handle.net/2183/26881 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Science and Technology Publications | es_ES |
| dc.relation.uri | https://doi.org/10.5220/0009166902540262 | es_ES |
| dc.rights | Atribución-NoComercial-SinDerivadas 4.0 España | |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | |
| dc.subject | EHR | es_ES |
| dc.subject | CDSS | es_ES |
| dc.subject | NLP | es_ES |
| dc.subject | Clinical notes | es_ES |
| dc.subject | Clinical decision-making | es_ES |
| dc.subject | Treatment guidance | es_ES |
| dc.title | Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | fa192a4c-bffd-4b23-87ae-e68c29350cdc | |
| relation.isAuthorOfPublication.latestForDiscovery | fa192a4c-bffd-4b23-87ae-e68c29350cdc |
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