Artificial intelligence-driven digital transformation for strengthening universal health coverage

Purpose: The recent healthcare crisis in South Korea has exposed structural vulnerabilities in essential and regional care, vulnerabilities that are largely driven by a fee-for-service system prioritizing quantitative expansion over quality. This study addresses the urgent need for an artificial intelligence (AI)-driven digital transformation to sustain universal health coverage in the context of rapid demographic change.Current concepts: We propose an AI-driven healthcare system that shifts the care paradigm from reactive treatment toward proactive prevention. Central to this framework is the establishment of a “National Health Data Lakehouse,” a cloud-based infrastructure designed to enable real-time integration of electronic health records and personal health records. We further outline implementation strategies for AI Copilots supporting clinical decision-making, population health management platforms, and the digital transformation of public hospitals, with particular emphasis on ensuring data interoperability and security.Discussion and conclusion: This digital transformation enables a transition toward value-based purchasing and strengthens healthcare delivery through AI-assisted screening and the establishment of regional medical innovation centers. To realize this vision, comprehensive policy reforms are required, including strengthened data governance, clear legal frameworks addressing AI-related liability, and rational reimbursement models aligned with value-based care principles. Ultimately, an AI-integrated national strategy is essential for building a sustainable, equitable, and patient-centered healthcare ecosystem.