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Home > Well+Being

Public Hospitals Open 'Medical AI Highway'… Patient Referral Document Time Cut from 10 Minutes to 10 Seconds

Hwang Sujin Reporter / Updated : 2026-11-11 20:03:14
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SEOUL — South Korea is rolling out an ambitious artificial intelligence initiative aimed at transforming regional public health. The newly introduced "Medical AI Highway" integrates advanced machine learning models to streamline patient record analysis, paperwork drafting, and hospital transfers across local medical institutions.

Government officials expect the platform to drastically cut administrative bottlenecks. For instance, drafting a patient referral document—a process that traditionally demands over 10 minutes of manual data compilation—can now be completed in as little as 10 seconds.

The Ministry of Health and Welfare officially kicked off the project with an opening ceremony at Kangwon National University Hospital in Chuncheon. The initiative will undergo initial pilot testing across eight public healthcare centers this year before scaling up.

Under the government's roadmap, connectivity will expand to 35 public hospitals next year, with a final goal of covering all 72 public hospitals nationwide by 2029.

Historically, cutting-edge medical AI applications have been concentrated in large, metropolitan hospitals, leaving regional public facilities struggling to adopt modern digital tools. To resolve this healthcare divide, the South Korean government built the AI highway as a centralized distribution network. It couples high-performance AI models—validated at leading institutions like Seoul National University Hospital—with national graphic processing unit (GPU) computing power and standardized integration platforms.

During the launch event, officials demonstrated a live case study showcasing the system's capabilities. A simulated 3-month-old infant, born prematurely at 32 weeks and treated at Kangwon National University Hospital, returned months later with respiratory distress and a fever. Upon visiting Yeongwol Medical Center, local doctors utilized the AI highway to swiftly evaluate the infant's condition and coordinate a transfer back to the higher-tier hospital's pediatric intensive care unit.

Instead of manually sorting through scattered test results, medication histories, and vital signs, attending physicians relied on AI to automatically aggregate the data. The technology drafted a comprehensive referral summary in under a minute, which the doctor reviewed and digitally signed. This eliminates the need for patients and families to hand-carry physical records between medical facilities.

The platform also automates pre-anesthesia evaluation forms prior to surgery and generates detailed discharge summaries upon a patient's release, completing administrative write-ups in roughly 50 seconds.

Ministry officials stressed that while AI serves as an automated drafting assistant, all ultimate clinical judgments, modifications, and legal signatures remain strictly under the purview of human physicians to guarantee patient safety.

Unlike conventional "standalone" medical AI tools that require doctors to navigate separate software windows independently of Electronic Medical Records (EMRs)—thereby interrupting clinical workflows—the new AI highway establishes a direct bridge between hospital EMR systems. It represents a major leap into the second stage of Medical Artificial Intelligence Transformation (AX), known as the EMR-Integrated Agent model.

This year's pilot project is backed by a 3.2 billion won budget, with an expanded 71 billion won allocation slated for the official rollout next year in April, adding 27 new hospitals.

Industry stakeholders and frontline medical professionals have welcomed the initiative while noting key challenges ahead, including the need to standardize EMR and PACS environments, streamline digital signatures, fortify cybersecurity, and eventually extend the network into private medical practices.

Government leaders remain confident that the rollout will ease the workload of medical staff and narrow regional healthcare disparities.

"We are designating this year as the foundational year for healthcare AX," said Health Minister Jeong Eun-kyung. "We are building a future where advanced medical AI safeguards public health, no matter where citizens live or which public hospital they visit."

[Copyright (c) Global Economic Times. All Rights Reserved.]

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Hwang Sujin Reporter
Hwang Sujin Reporter

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