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The medical help is considered to be full when medical staff not only use medical and diagnostic technology properly, but also follow the ethical rules.
A. I. Litvak+2 more
doaj +5 more sources
BackgroundCoronavirus disease 2019 (COVID-19) has progressively impacted our daily lives, resulting in unexpected physical and mental stress on medical staff.
Lin Tang+8 more
doaj +2 more sources
PORTRAITS OF A MEDICAL STAFF [PDF]
TOMMY VARGHESE
openaire +3 more sources
Psychosocial risk factors are conditions present in the work environment that are related to the organization of work, its social environment, work content and the performance of the task that can affect the health of workers.
Wendy Cardoza+3 more
semanticscholar +1 more source
Objective The COVID-19 pandemic has had a significant impact on the burnout and mental health of medical staff. This meta-analysis aims to provide additional (and updated) evidence related to burnout and mental health problems among medical staff using a
Hongjing Zhu+3 more
semanticscholar +1 more source
Leadership among the medical staff
Dear Editor: Nowadays, and specifically in the health sector, leadership development is critical because it enables physicians to articulate their capacities in order to improve both the administration of the services delivered to the population and the
Luz Alexandra Javier-Silva+1 more
doaj +1 more source
Background e-learning was underutilized in the past especially in developing countries. However, the current crisis of the COVID-19 pandemic forced the entire world to rely on it for education.
M. Zalat, M. Hamed, S. Bolbol
semanticscholar +1 more source
Background Coronavirus disease 2019 (COVID-19), formerly known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 2019 novel coronavirus (2019-nCoV), was first identified in December 2019 in Wuhan City, China.
Han Xiao+4 more
semanticscholar +1 more source
Post COVID-19 Effect on Medical Staff and Doctors' Productivity Analysed by Machine Learning
The COVID-19 pandemic has profoundly affected the healthcare sector and the productivity of medical staff and doctors. This study employs machine learning to analyze the post-COVID-19 impact on the productivity of medical staff and doctors across various
Maitham G. Yousif, K. Hashim, S. Rawaf
semanticscholar +1 more source