Mostrar el registro sencillo del ítem

dc.contributor.authorAlcoceba Herrero, Irene
dc.contributor.authorCoco Martín, María Begoña
dc.contributor.authorLeal Vega, Luis
dc.contributor.authorPeña de Diego, Lidia
dc.contributor.authorMartín Gutiérrez, Adrián
dc.contributor.authorPeña de Diego, Lidia
dc.contributor.authorDueñas Gutiérrez, Carlos Jesús 
dc.contributor.authorCastro Rodríguez, Flor de
dc.contributor.authorRoyuela Ruiz, Pablo
dc.contributor.authorArenillas Lara, Juan Francisco 
dc.date.accessioned2023-12-04T12:48:24Z
dc.date.available2023-12-04T12:48:24Z
dc.date.issued2023
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2023, Vol. 20, Nº. 3, 2300es
dc.identifier.issn1660-4601es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/63453
dc.descriptionProducción Científicaes
dc.description.abstract(1) Background: We present the protocol of a randomized controlled trial designed to evaluate the benefit of a novel clinical decision support system for the management of patients with COVID-19. (2) Methods: The study will recruit up to 500 participants (250 cases and 250 controls). Both groups will receive the conventional telephone follow-up protocol by primary care and will also be provided with access to a mobile application, in which they will be able to report their symptoms three times a day. In addition, patients in the active group will receive a wearable smartwatch and a pulse oximeter at home for real-time monitoring. The measured data will be visualized by primary care and emergency health service professionals, allowing them to detect in real time the progression and complications of the disease in order to promote early therapeutic interventions based on their clinical judgement. (3) Results: Ethical approval for this study was obtained from the Drug Research Ethics Committee of the Valladolid East Health Area (CASVE-NM-21-516). The results obtained from this study will form part of the thesis of two PhD students and will be disseminated through publication in a peer-reviewed journal. (4) Conclusions: The implementation of this telemonitoring system can be extrapolated to patients with other similar diseases, such as chronic diseases, with a high prevalence and need for close monitoring.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCOVID-19es
dc.subjectDecision support systemses
dc.subjectDecision makinges
dc.subjectToma de decisioneses
dc.subjectBig dataes
dc.subjectArtificial intelligencees
dc.subjectTechnological innovationses
dc.subjectInnovaciones tecnológicases
dc.subjectTelemedicinees
dc.subjectTelemedicinaes
dc.subjectMedical informaticses
dc.subjectWearable technologyes
dc.subjectMonitoringes
dc.subjectPatient monitoring - Data processinges
dc.subjectPublic healthes
dc.titleRandomized controlled trial evaluating the benefit of a novel clinical decision support system for the management of COVID-19 patients in home quarantine: A study protocoles
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2023 The authorses
dc.identifier.doi10.3390/ijerph20032300es
dc.relation.publisherversionhttps://www.mdpi.com/1660-4601/20/3/2300es
dc.identifier.publicationfirstpage2300es
dc.identifier.publicationissue3es
dc.identifier.publicationtitleInternational Journal of Environmental Research and Public Healthes
dc.identifier.publicationvolume20es
dc.peerreviewedSIes
dc.description.projectJunta de Castilla y León e Instituto de Salud Carlos III - (grant COV20/00539)es
dc.identifier.essn1660-4601es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco32 Ciencias Médicases
dc.subject.unesco1203.17 Informáticaes
dc.subject.unesco1203.04 Inteligencia Artificiales
dc.subject.unesco3212 Salud Publicaes


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem