KHIDI Smart Hospital Leading Model (seed)
Funds Korean hospitals and healthcare teams building smart hospital models for scalable digital care.
KHIDI's Smart Hospital Leading Model programme funds Korean medical institutions to develop replicable smart-healthcare service models that other hospitals across the country can adopt, functioning as a national testbed for fourth-industrial-revolution health technologies within clinical settings. The programme is oriented around establishing leading examples rather than one-off deployments, with an emphasis on scalability and transferability of the resulting smart-hospital systems. Technologies in scope include AI-driven clinical decision support, electronic health records, IoT-connected medical devices, medical imaging automation, and integrated hospital operations platforms.
The programme uses a medical-institution-led consortium model: a hospital or healthcare organisation anchors the application and leads the development effort, with technology companies and other partners participating as consortium members. For-profit technology firms providing AI, EHR, IoT, or imaging components are eligible as consortium partners, giving health-technology companies a route into the programme through a hospital lead. Eligibility is limited to Korea-registered entities, and applications must be submitted in Korean through KHIDI's EPS portal. Specific annual award sizes and call timelines require verification against current MOHW budget announcements.
Proposals that are most competitive will demonstrate a hospital-led vision for a comprehensive smart-hospital model — not merely a point-technology implementation — with a clearly articulated replication plan showing how other Korean hospitals could adopt the resulting system. The programme's policy rationale connects to Korea's national agenda for healthcare system modernisation and the policy priority of leveraging big data and AI in clinical environments. Projects that can articulate measurable outcomes in patient safety, operational efficiency, or clinical quality, alongside a credible technology consortium, are best positioned for selection.
Funds medical-institution-led Korean consortia to develop scalable smart-hospital service models incorporating AI, IoT, EHR, and imaging technologies for national replication.
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