APPLICATION OF ARTIFICIAL INTELLIGENCE FOR EARLY IDENTIFICATION AND MANAGEMENT OF OCCUPATIONAL BURNOUT IN HEALTHCARE PROFESSIONALS: AN INTERDISCIPLINARY APPROACH

Abstract

Occupational burnout among healthcare professionals is a critical concern, adversely affecting personal well-being, patient care, and organizational efficiency. The emergence of Artificial Intelligence (AI) offers promising opportunities for the early identification and management of burnout by analyzing patterns in workload, behavior, and physiological indicators. This study explores the application of AI in detecting burnout risks and supporting intervention strategies among healthcare professionals. A total of 225 participants from various healthcare settings were surveyed, categorized by age and gender, and assessed on their perception of AI’s impact in burnout management. Descriptive statistics revealed that most respondents perceive AI as having a moderate to high impact, with younger and mid-career professionals showing higher confidence. Gender differences were minimal, indicating broad acceptance of AI across male and female professionals. Chi-square analyses showed no statistically significant associations between age or gender and perceived impact, suggesting that perceptions are generally positive across demographic groups. The findings highlight AI’s potential to enhance occupational well-being, inform personalized interventions, and improve healthcare delivery efficiency. Future research should focus on practical implementation frameworks and training programs to maximize adoption among healthcare staff.