Predictive Analytics Transforms Value-Based Care Operations

Healthcare IT Today’s community of health IT leaders details how data analytics and predictive modeling support identifying high-risk patients and optimizing care plans in value-based care. Experts cite deployments of machine-learning models with reported 85–90% accuracy, real-time workflow integration, NLP on clinical notes, and closed-loop intervention systems. They emphasize embedding analytics into clinical workflows to trigger timely outreach and personalized interventions, reducing avoidable acute events.