AIMC Topic: Burnout, Professional
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Using Artificial Intelligence in Electronic Health Record Systems to Mitigate Physician Burnout: A Roadmap.
Journal of healthcare management / American College of Healthcare Executives
Jul 3, 2024
Physician burnout, a significant problem in modern healthcare, adversely affects healthcare professionals and their organizations. This essay explores the potential of artificial intelligence (AI) to positively address this issue through its integrat...
Development of an Artificial Intelligence-Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial.
Journal of medical Internet research
Jun 21, 2024
BACKGROUND: Nurse burnout leads to an increase in turnover, which is a serious problem in the health care system. Although there is ample evidence of nurse burnout, interventions developed in previous studies were general and did not consider specifi...
Effects of Job Crafting and Leisure Crafting on Nurses' Burnout: A Machine Learning-Based Prediction Analysis.
Journal of nursing management
Jun 20, 2024
AIM: To explore the status of job crafting, leisure crafting, and burnout among nurses and to examine the impact of job crafting and leisure crafting variations on burnout using machine learning-based models.
Should Artificial Intelligence Be Used for Physician Documentation to Reduce Burnout?
Kidney360
Mar 25, 2024
Exploring generative AI's role in alleviating nursing workload and burnout in Taiwan.
Journal of the Formosan Medical Association = Taiwan yi zhi
Feb 16, 2024
The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
The Journal of applied psychology
Oct 10, 2022
Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings...
Design and rationale of an intelligent algorithm to detect BuRnoUt in HeaLthcare workers in COVID era using ECG and artificiaL intelligence: The BRUCEE-LI study.
Indian heart journal
Nov 24, 2020
BACKGROUND: There is no large contemporary data from India to see the prevalence of burnout in HCWs in covid era. Burnout and mental stress is associated with electrocardiographic changes detectable by artificial intelligence (AI).
Stress among Portuguese Medical Students: the EuStress Solution.
Journal of medical systems
Jan 2, 2020
There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this pa...
Ambient virtual scribes: Mutuo Health's AutoScribe as a case study of artificial intelligence-based technology.
Healthcare management forum
Sep 15, 2019
Studies show that clinicians are increasingly burning out in large part from the clerical burden associated with using Electronic Medical Record (EMR) systems. At the same time, recently developed health data analytic algorithms struggle with poor qu...
Expanding the occupational health methodology: A concatenated artificial neural network approach to model the burnout process in Chinese nurses.
Ergonomics
Jul 31, 2015
UNLABELLED: Artificial neural networks are sophisticated modelling and prediction tools capable of extracting complex, non-linear relationships between predictor (input) and predicted (output) variables. This study explores this capacity by modelling...
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