Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63453
Título
Randomized controlled trial evaluating the benefit of a novel clinical decision support system for the management of COVID-19 patients in home quarantine: A study protocol
Autor
Año del Documento
2023
Editorial
MDPI
Descripción
Producción Científica
Documento Fuente
International Journal of Environmental Research and Public Health, 2023, Vol. 20, Nº. 3, 2300
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.
Materias (normalizadas)
COVID-19
Decision support systems
Decision making
Toma de decisiones
Big data
Artificial intelligence
Technological innovations
Innovaciones tecnológicas
Telemedicine
Telemedicina
Medical informatics
Wearable technology
Monitoring
Patient monitoring - Data processing
Public health
Materias Unesco
32 Ciencias Médicas
1203.17 Informática
1203.04 Inteligencia Artificial
3212 Salud Publica
ISSN
1660-4601
Revisión por pares
SI
Patrocinador
Junta de Castilla y León e Instituto de Salud Carlos III - (grant COV20/00539)
Version del Editor
Propietario de los Derechos
© 2023 The authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
Collections
Files in this item
Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional