Predicting Employee Attrition in Healthcare Using AI Models, Deep Learning and Natural Language Processing
Kiran Veernapu
Abstract
Employee attrition, or turnover, is a significant concern in many industries, particularly in healthcare, where retaining skilled professionals is critical for maintaining high-quality patient care. Healthcare organizations face unique challenges, including high stress, burnout, and work-life balance issues, which can contribute to higher employee turnover rates. Predicting employee attrition can help organizations implement targeted interventions to retain employees, reduce turnover costs, and ensure a stable workforce. This paper explores the use of Artificial Intelligence (AI) and Machine Learning (ML) models to predict employee attrition in the healthcare sector, focusing on applying various AI models, their effectiveness, and the key factors influencing attrition.