TY - JOUR
T1 - Analysis of the Professional Burnout Syndrome in Times of Pandemic by COVID-19, an Approach to Practice using Artificial Intelligence
AU - Atachagua, Natali
AU - Orihuela, Orlando
AU - Herrera, Lucas
AU - Auccahuasi, Wilver
AU - Antezana, Miguel
N1 - Publisher Copyright:
© 2022 Copyright for this paper by its authors.
PY - 2022
Y1 - 2022
N2 - In times of pandemic as a result of Covid-19, many of the services provided by the Peruvian state are subject to the parameters of working from home, which is why many of the services are performed in a minimal way, in the case of the syndrome of professional exhaustion, applied to the workers of Line 100, which is dedicated to helping people who are affected by family violence, due to confinement, emergency calls have increased in such a way that workers are subjected to a pressure product of being able to attend to those affected. In this work, the burnout syndrome is analyzed in workers on line 100 for emergency care, which indicates that this syndrome exists in most of the workers, as a result of the same work and the same emotional situation as a result of the Covid-19, likewise a method is proposed to be able to use Artificial Intelligence in the analysis and prediction of the professional burnout syndrome.
AB - In times of pandemic as a result of Covid-19, many of the services provided by the Peruvian state are subject to the parameters of working from home, which is why many of the services are performed in a minimal way, in the case of the syndrome of professional exhaustion, applied to the workers of Line 100, which is dedicated to helping people who are affected by family violence, due to confinement, emergency calls have increased in such a way that workers are subjected to a pressure product of being able to attend to those affected. In this work, the burnout syndrome is analyzed in workers on line 100 for emergency care, which indicates that this syndrome exists in most of the workers, as a result of the same work and the same emotional situation as a result of the Covid-19, likewise a method is proposed to be able to use Artificial Intelligence in the analysis and prediction of the professional burnout syndrome.
KW - Burnout
KW - artificial intelligence
KW - emergency
KW - method
KW - syndrome
UR - http://www.scopus.com/inward/record.url?scp=85142924702&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85142924702
SN - 1613-0073
VL - 3269
SP - 60
EP - 67
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2022 Workshop on Intelligent Systems, WINS 2022
Y2 - 22 April 2022 through 24 April 2022
ER -