Seoul National University Bundang Hospital (SNUBH) has signed a three-year memorandum of understanding with the Healthcare Information and Management Systems Society (HIMSS) to collaborate on digital healthcare and medical AI. The agreement, signed Monday during HIMSS26 APAC in Singapore, designates SNUBH as a "Global Knowledge and Research Partner" through August 2029.
The partnership extends a relationship that dates back to 2010, when SNUBH became the first hospital outside the United States to achieve Stage 7 - the highest level - under HIMSS' Electronic Medical Record Adoption Model (EMRAM). The hospital has maintained that top rating through four consecutive assessments, a first in Asia.
More recently, SNUBH became the first hospital in the Asia-Pacific region and the second worldwide to achieve Stage 7 under HIMSS' Modernized Analytics Maturity Assessment Model (AMAM), which evaluates data analytics and governance capabilities in healthcare organizations.
AI integration across the care pathway
SNUBH is also leading a Korean government-backed project to embed AI across the entire patient care pathway. The hospital was selected as the lead institution for the Ministry of Science and ICT's 2026 AX-Ready (AICON) pilot project, which tests an integrated model applying AI across prevention, diagnosis, treatment and follow-up care. Rather than introducing individual AI tools separately, the hospital aims to integrate AI across clinical care, research and hospital operations.
Under the new partnership, SNUBH and HIMSS plan to jointly participate in government-funded research projects linking HIMSS assessment models, including EMRAM and AMAM, with the Digital Health Indicator (DHI). They will also collaborate on healthcare AI consulting, joint contributions to academic journals and presentations at major international conferences. The organizations plan to share research findings and clinical AI use cases with the global healthcare community and gradually expand collaboration with hospitals in Asia and other regions.
For healthcare professionals tracking how hospitals operationalize AI, the partnership signals a shift from evaluating digital maturity to measuring AI readiness and governance. SNUBH's role in the AICON pilot - applying AI across prevention, diagnosis, treatment and follow-up - offers a concrete model for how AI for Healthcare can move beyond isolated tools and into standard clinical workflow. The hospital's top-tier AMAM rating also suggests that data analysis maturity is becoming a prerequisite for AI adoption, not an afterthought.
Why this matters for healthcare professionals
Hospitals evaluating their own AI strategies can look at SNUBH's trajectory: it spent more than a decade building foundational data infrastructure before scaling AI across clinical care. The partnership with HIMSS gives SNUBH a channel to publish results and influence assessment standards internationally. For clinicians and hospital administrators, the practical takeaway is that AI governance frameworks and analytics maturity assessments are becoming part of how leading hospitals measure themselves - and those benchmarks will likely shape procurement and accreditation decisions in the coming years.
"SNUBH is moving beyond the smart hospital standards, an AI transformation across clinical care is what we begin in pilot of smart hospital 2.0 and AI hospital scale," said Jeon Young-tae, president and CEO of SNUBH. "Through our collaboration with HIMSS, we will work to establish the leading data analytics and safe AI operating systems and positively impact patient safety and quality of care on a global scale."
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