Abstract

The integration of biometric-enabled digital health platforms into employee well-being programs marks a significant advancement in workplace mental health management. These technologies, which utilize real-time data from wearable sensors, offer the ability to detect early signs of psychological stress, monitor physiological indicators, and deliver personalized mental health interventions through predictive analytics. This review critically evaluates the effectiveness of such systems, focusing on their capacity to enhance mental health outcomes, improve employee engagement, and optimize organizational productivity. It explores the architecture and functionality of biometric systems, examines the role of artificial intelligence in processing biometric data, and highlights implementation challenges such as data privacy, ethical considerations, and digital inclusivity. By synthesizing evidence from recent empirical and theoretical studies, the paper underscores the importance of aligning technological innovation with supportive workplace policies and mental health frameworks to foster resilient and health-conscious work environments.