AI Can help Providers Get Better Outcomes in Value - Based Care Models

In the discourse on value-based care (VBC), an accountable care expert sheds light on artificial intelligence's (AI) pivotal role in revolutionizing risk adjustment and synthesizing quality and risk data. Jay Ackerman, President and CEO of Reveleer, underscores AI's potential to scan, analyze, and synthesize vast datasets, enhancing patient care within VBC models. By integrating external clinical data sources, AI offers a comprehensive view of patient health, empowering providers with real-time insights at the point of care. Additionally, AI aligns risk adjustment and quality improvement programs, facilitating proactive interventions and personalized healthcare recommendations. Through AI-enabled patient engagement strategies, providers can foster informed decision-making, proactive interventions, and stronger patient-provider relationships, ultimately enhancing healthcare outcomes.