TY - GEN
T1 - Sistema Biomédico en el Monitoreo Remoto de Pacientes Hospitalizados Durante la Coyuntura del COVID-19
AU - Pajuelo Chavez, Aly E.
AU - Coico Ibáñez, Pedro G.
AU - Berrú Beltrán, Rolando J.
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The present research work aimed to determine the influence of a biomedical system in the remote monitoring of hospitalized patients during the COVID-19 juncture. The type of analysis has been pre-experimental; with a sample of10 nurses fro m the hospitalization area of a clinic in the city of Trujillo. For data collection, three questionnaires and an observation sheet were applied. For data analysis, the Shapiro Wilk normality test and the Student's t hypothesis test were used. Likewise, the parameters included in the monitoring of patients are described, which were the fulfillment of needs, monitoring protocol, usability and accuracy of biomedical data. The results showed that the implementation of the biomedical system obtained an increase of 21.1% in the Fulfillm ent of Needs, an 18.18% in the Effectiveness of the monitoring protocol, a 25.51% in the Usability and finally we obtained an increase of 14.68% in the Accuracy. of Biomedical Data, compared to classical monitoring. Based on the foregoing, it was concluded that the biomedical system had a positive influence on the monitoring of hospitalized patients during the COVID-19 juncture carried out by nurses from a clinic in the city of Trujillo in 2021.
AB - The present research work aimed to determine the influence of a biomedical system in the remote monitoring of hospitalized patients during the COVID-19 juncture. The type of analysis has been pre-experimental; with a sample of10 nurses fro m the hospitalization area of a clinic in the city of Trujillo. For data collection, three questionnaires and an observation sheet were applied. For data analysis, the Shapiro Wilk normality test and the Student's t hypothesis test were used. Likewise, the parameters included in the monitoring of patients are described, which were the fulfillment of needs, monitoring protocol, usability and accuracy of biomedical data. The results showed that the implementation of the biomedical system obtained an increase of 21.1% in the Fulfillm ent of Needs, an 18.18% in the Effectiveness of the monitoring protocol, a 25.51% in the Usability and finally we obtained an increase of 14.68% in the Accuracy. of Biomedical Data, compared to classical monitoring. Based on the foregoing, it was concluded that the biomedical system had a positive influence on the monitoring of hospitalized patients during the COVID-19 juncture carried out by nurses from a clinic in the city of Trujillo in 2021.
KW - Biomedical system in patient monitoring
KW - COVID-19
KW - embedded system
KW - hospitalization
KW - pulse oximetry sensor
UR - http://www.scopus.com/inward/record.url?scp=85139997940&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2022.1.1.178
DO - 10.18687/LACCEI2022.1.1.178
M3 - Contribución a la conferencia
AN - SCOPUS:85139997940
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Y2 - 18 July 2022 through 22 July 2022
ER -