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Chronic diseases account for a substantial burden on global healthcare systems, contributing to increased morbidity, mortality, and economic strain. Generative AI is emerging as a paradigm-shifting technology, offering advanced data analytics, personalized patient engagement, and early symptom detection to enhance health outcomes and operational efficiency in chronic disease care.
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In the evolving landscape of value-based care, Hierarchical Condition Category (HCC) coding and risk adjustment have become critical to ensuring accurate reimbursement and optimizing patient care. Artificial Intelligence (AI) is now playing a transformative role in enhancing HCC recapture rates, improving risk stratification, and ensuring compliance with CMS guidelines.
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The healthcare industry is rapidly transitioning from fee-for-service (FFS) models to value-based care (VBC) models, where provider reimbursement is tied to patient outcomes rather than the volume of services rendered. A key driver of success in value-based care is patient engagement, as informed and actively involved patients tend to achieve better health outcomes, reduced hospital admissions, and lower healthcare costs.
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