South Korea Pilots AI System to Reduce Emergency Room Delays

South Korean health authorities and 119 emergency services are piloting an AI-driven system to transport emergency patients to the most suitable hospitals ^[1].

The initiative targets a critical failure in the healthcare chain known as the "ER bottleneck." By automating the matching process between patients and available medical facilities, the government aims to eliminate the dangerous delays that occur when ambulances are rejected by multiple hospitals before finding an open bed ^[1].

In South Korea, the phenomenon of "ER spinning"—where ambulances circle multiple hospitals due to a lack of available resources—has become a public health crisis. This delay often results in the deterioration of a patient's condition during transport, which can lead to preventable deaths ^[1]. The new AI system is designed to analyze real-time data to determine which facility has the specific capacity and specialty required for a patient's condition ^[1].

By utilizing artificial intelligence, the 119 emergency teams can bypass the manual process of calling multiple hospitals to check for availability. The system provides a more rapid and accurate determination of where a patient should be taken, thereby reducing the time spent in transit ^[1].

Government officials said the pilot program is currently active as of 2024 ^[1]. The deployment covers regions where 119 emergency services operate, focusing on the most high-pressure urban centers where hospital congestion is most severe ^[1].

While the system is in a testing phase, the goal is to create a seamless digital bridge between the ambulance and the hospital. This integration is intended to ensure that the most critical patients reach specialized care without the administrative friction that has historically plagued the emergency transport system ^[1].