| Sumario: | SUMMARY: Chronic diseases are long-lasting health conditions that require continual management and coordination across multiple levels of care. The persistent nature of these diseases strains healthcare systems due to fragmented delivery, inefficiency, and provider burnout. This research introduces the CARE Model (Chronic care AI for Redesign and Empowerment) as a comprehensive framework to integrate artificial intelligence (AI) across clinical, operational, and patient domains for chronic care management. The model consists of four pillars: coordination , analysis , redesign , and empowerment. Together, these components demonstrate how AI can enhance decision-making, foster communication among healthcare professionals, and improve outcomes for patients with long-term and complex conditions. The treatment of chronic obstructive pulmonary disease (COPD) serves as a case example, demonstrating how AI coordination can drive predictive analytics to prevent exacerbations, reduce readmissions, and empower self-management for patients. The CARE Model ultimately provides healthcare leaders with a blueprint for AI technology-enabled transformation in care delivery.
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