South Korea is accelerating its vision for “AI-Enabled Essential Healthcare” by unveiling detailed measures to broaden safe, ethical access to healthcare data. The Ministry of Health and Welfare (MOHW) outlined these strategies during the Healthcare Data Policy Deliberation Committee meeting on December 10, 2025, emphasizing data as a catalyst for innovation in the AI Transformation (AX) era.

Core Strategies for Data Expansion:
Public Infrastructure Upgrades: Linking clinical data from three national university hospitals (starting 2025) to the existing Healthcare Big Data Platform (currently administrative-focused). Promoting secondary use of national R&D datasets.
National Integrated Bio Big Data: Building a resource covering 770,000 individuals by 2028, with phased public/researcher access starting in the second half of 2026.
Startup & SME Support: Expanding the medical data voucher program from 8 projects (2025) to 40 (2026), providing up to 400 million won (~$280,000) per project for AI developers to access hospital data.
AI Validation & Adoption: Funding 20 new demonstration projects in 2026 for systematic performance/effectiveness verification of medical AI solutions before clinical rollout. Evolving “Healthcare Data-Driven Hospitals” into integrated AI research hubs.
Institutional Reinforcement: Strengthening regional, essential, and public healthcare through data/AI targeting diagnosis, prediction, and treatment support.

The committee, chaired by Vice Minister Lee Hyung-hoon, also reviewed public data opening: agencies like KDCA, National Cancer Center, NHIS, and HIRA will enhance pseudonymized datasets, metadata connectivity, and cloud/GPU upgrades for large-scale remote analysis.

These steps address South Korea’s challenges: fragmented data silos, limited startup access, and cautious privacy frameworks—while capitalizing on strengths like high-quality clinical records and tech infrastructure.

Broader Context: South Korea’s AI healthcare market grows rapidly (~50% CAGR projected to 2030), driven by aging demographics and chronic disease burdens. The measures complement ongoing efforts (e.g., data utilization projects since 2020, safe data centers) and align with global trends toward responsible AI in medicine.

Privacy remains paramount: expansions adhere to strict de-identification, consent, and ethical guidelines.