Description
AI-powered health risk assessments use machine learning algorithms to predict potential health issues by analyzing a combination of historical data and real-time health metrics. These systems pull information from employee medical histories (with consent), wearable devices, and environmental factors to identify patterns indicative of health risks. Early identification allows employers and health professionals to intervene proactively, potentially preventing more serious health issues and maintaining workforce productivity and well-being.
