Relationship Between Interpersonal Conflict, Stress and Burnout in Nurses using ML Classification

Nurses often face challenges due to heavy workloads, ambiguous roles, and hierarchical pressures. This makes them particularly susceptible to stress and burnout. These factors impair their mental health, productivity, and interpersonal dynamics, resulting in emotional exhaustion, dissatisfaction, and high turnover rates. Therefore, the association between interpersonal conflict, stress, and burnout, among nurses is examined in this study. Data were collected from 636 registered nurses in Karnataka. An Artificial Neural Network was used to classify nurses on low/high interpersonal conflict levels based on their stress/burnout levels. It was found that stress and burnout strongly predict interpersonal conflicts. Factors like impaired judgment and altered behavior contribute heavily to these challenges. AI and IoT can be used to manage stress and burnout. Predictive AI analytics can monitor physiological and behavioral indicators, which can help provide an early intervention.