dc.contributor.author | Pereira, Miguel | |
dc.contributor.author | Concheiro-Moscoso, Patricia | |
dc.contributor.author | López-Álvarez, Alexo | |
dc.contributor.author | Baños, Gerardo | |
dc.contributor.author | Pazos, A. | |
dc.contributor.author | Pereira-Loureiro, Javier | |
dc.date.accessioned | 2021-04-06T13:10:10Z | |
dc.date.available | 2021-04-06T13:10:10Z | |
dc.date.issued | 2021-03-23 | |
dc.identifier.citation | Pereira, M.; Concheiro-Moscoso, P.; López-Álvarez, A.; Baños, G.; Pazos, A.; Pereira, J. Applicability of clinical decision support in management among patients undergoing cardiac surgery in intensive care unit: a systematic review. Appl. Sci. 2021, 11, 2880. https://doi.org/10.3390/app11062880 | es_ES |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/2183/27663 | |
dc.description.abstract | [Abstract]
The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons’ dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent in intensive care units (ICUs), where the patients need to be continuously monitored to adjust their treatment. Clinical decision support systems (CDSSs) have been developed to take this real-time information and provide clinical suggestions to physicians in order to reduce medical errors and to improve patient recovery. In this review, an initial total of 499 papers were considered after identification using PubMed, Web of Science, and CINAHL. Twenty-two studies were included after filtering, which included the deletion of duplications and the exclusion of titles or abstracts that were not of real interest. A review of these papers concluded the applicability and advances that CDSSs offer for both doctors and patients. Better prognosis and recovery rates are achieved by using this technology, which has also received high acceptance among most physicians. However, despite the evidence that well-designed CDSSs are effective, they still need to be refined to offer the best assistance possible, which may still take time, despite the promising models that have already been applied in real ICUs. | es_ES |
dc.description.sponsorship | The authors disclose the receipt of the following financial support for the research, authorship, and/or publication of this article: all of the economic costs involved in the study were borne by the research team. This work was supported in part by grants from the European Social Fund 2014–2020. The Research Centre of the Galician University System (CITIC) and the Galician University System (SUG) obtained funds through the Regional Development Fund (ERDF), with 80% from the Operational Program ERDF Galicia 2014–2020 and the remaining 20% from the Secretaría Xeral de Universidades of the Galician University System (SUG). P.C.-M. obtained a scholarship (Ref. ED481A-2019/069) to develop a Ph.D. thesis. Furthermore, the diffusion and publication of this research were funded by the CITIC as a Research Centre by Galician University System with the support previously mentioned (Ref. ED431G-2019/01). In addition, this work was also funded by a grant for the consolidation and structuring of competitive research units (ED431C 2018/49) from the General Directorate of Culture, Education and University Management of Xunta de Galicia, and the CYTED. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481A-2019/069 | |
dc.description.sponsorship | Xunta de Galicia; ED431G-2019/01 | |
dc.description.sponsorship | Xunta de Galicia; ED431C 2018/49 | |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.uri | https://doi.org/10.3390/app11062880 | es_ES |
dc.rights | Creative Commons Attribution 4.0 International License (CC-BY 4.0) | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Clinical decision support | es_ES |
dc.subject | Computerized physician order entry | es_ES |
dc.subject | Intensive care units | es_ES |
dc.subject | Cardiac surgery | es_ES |
dc.title | Applicability of clinical decision support in management among patients undergoing cardiac surgery in intensive care unit: a systematic review | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
UDC.journalTitle | Applied Sciences | es_ES |
UDC.volume | 11 | es_ES |
UDC.issue | 6 | es_ES |
UDC.startPage | 2880 | es_ES |
dc.identifier.doi | 10.3390/app11062880 | |
UDC.coleccion | Investigación | es_ES |
UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
UDC.departamento | Fisioterapia, Medicina e Ciencias Biomédicas | es_ES |
UDC.grupoInv | Redes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR) | es_ES |
UDC.grupoInv | RNASA - IMEDIR (INIBIC) | es_ES |
UDC.grupoInv | Tecnoloxía Aplicada á Investigación en Ocupación, Igualdade e Saúde (TALIONIS) | es_ES |
UDC.institutoCentro | INIBIC - Instituto de Investigacións Biomédicas de A Coruña | es_ES |