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Mitigating Burnout in an Oncological Unit: A Scoping Review
Rasheed Omobolaji Alabi1,2, Päivi Hietanen3, Mohammed Elmusrati2
1Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Clinical oncology burnout can be addressed through individual and organizational strategies, including AI. Combinatorial approaches are key to improving job satisfaction, retention, and patient care.
Area of Science:
- Oncology
- Healthcare Management
- Artificial Intelligence
Background:
- Burnout is a significant issue for clinical oncologists.
- It stems from various challenges in cancer care.
Purpose of the Study:
- To conduct a scoping review on mitigating burnout in clinical oncology.
- To explore the role of artificial intelligence (AI) in reducing oncologist burnout.
Main Methods:
- Searched major databases (Ovid Medline, PubMed, Scopus, Web of Science).
- Identified studies addressing burnout mitigation in oncology.
Main Results:
- 17 studies were reviewed, detailing individual and organizational interventions.
- Individual strategies include communication skills, stress management, and work-life balance.
- Organizational strategies involve training, therapies, leadership, and support.
- AI shows potential to enhance productivity, reduce workload, and foster teamwork.
Conclusions:
- Combinatorial strategies integrating various interventions are effective.
- AI integration is crucial for healthcare providers to combat burnout.
- Successful interventions improve job satisfaction, retention, and patient care.
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