Name: Aljawharah Mamdouh Alkhamshi
Senior nurse specialist
Name: Faisal Mojep Alotaibi
Staff Nurse
Name: Muqrin Mohammed Alqarni
Nurse
Name: Thamer Nawaf Alshammari
Nurse
Name: Bader Hamoud Alharbi
Specialist Nurse
Name: Afrah Rasheed Alrashedi
Nurse
Alleviating Nurse Burnout through Robotic Assistance in Modern Healthcare
Abstract
Nurse burnout is a significant issue in healthcare, adversely affecting both the well-being of nurses and the quality of patient care. Characterized by emotional exhaustion, depersonalization, and a reduced sense of personal accomplishment, burnout has led to high turnover rates, decreased job satisfaction, and impaired patient outcomes. Traditional approaches to managing burnout, such as staffing improvements and mental health support, have yielded limited success, highlighting the need for innovative solutions. One such solution is the integration of robotic assistance into nursing practices. This research explores the potential of robotic systems to alleviate nurse burnout by automating repetitive administrative tasks and assisting in physically demanding aspects of patient care. Drawing on frameworks such as the Maslach Burnout Inventory, Technology Acceptance Model, and Transactional Model of Stress and Coping, the study investigates how robotic technologies can reduce cognitive and physical stressors, enhance job satisfaction, and improve nurse well-being. The research also examines the challenges to successful robot integration, including nurse acceptance, cost, and training requirements. Despite these challenges, the findings suggest that robotic assistance holds promise in alleviating burnout and fostering a more supportive work environment for nurses. This study contributes to a deeper understanding of how technology can play a key role in mitigating burnout and improving the sustainability of the nursing workforce in modern healthcare settings.
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