Acute Cardiac Arrest, AI Detects Early Warning Signs... Early Response with "Ssingkeu" at Gwangju Hanguk Hospital

Acute Cardiac Arrest Crisis Detected Immediately by Ssingkeu Alarm

The smart bedside monitoring system "Ssingkeu (thynC)" supplied by Daewoong Pharmaceutical detected an inpatient's emergency situation in real time and averted a cardiac arrest crisis. This case demonstrates that close monitoring is possible even in general wards, where it is difficult for medical staff to be constantly present, through digital healthcare technology, and shows that such technology has established itself as an essential safety net in frontline medical systems.

According to Gwangju Hanguk Hospital on February 11, an inpatient in his 80s who had been hospitalized in a general ward recently faced a sudden cardiac arrest crisis, but thanks to Ssingkeu's real-time alarm, the medical staff were able to respond immediately and secure the golden time.

Medical staff at Gwangju Hanguk Hospital are checking patients' conditions through a thynC monitor installed in the ward. Daewoong Pharmaceutical

At around 3:10 p.m. on January 14, the heart rate of an 85-year-old patient who had been hospitalized in a general ward at Gwangju Hanguk Hospital suddenly rose to 192 beats per minute, and ventricular tachycardia, an early warning sign of cardiac arrest, was immediately detected through the Ssingkeu remote central monitor. The patient had cardiovascular risk factors at the early stage of hospitalization and had been under real-time remote monitoring with Ssingkeu since January 9.

After checking the abnormal sign alarm sent by Ssingkeu at the time, the medical staff rushed to the ward immediately. When they arrived on site, the patient showed seizure-like symptoms and decreased consciousness and was unable to breathe independently. The medical staff immediately performed cardiopulmonary resuscitation and artificial respiration, and the patient recovered cardiac rhythm and blood circulation before being transferred to the intensive care unit.

Gwangju Hanguk Hospital evaluated that, in this case, Ssingkeu played a decisive role in monitoring changes in the patient's condition in real time and in the early detection of the emergency situation. According to data released by the National Fire Agency, the golden time for acute cardiac arrest is only four minutes, and the survival rate of patients transported by the 119 emergency service is around 7.8%. Therefore, this case is considered highly significant in that it underscores how crucial it is to quickly identify early warning signs of cardiac arrest.

"Ssingkeu" is an AI-based smart bedside monitoring system that measures key vital signs such as electrocardiogram, heart rate, and respiratory rate in real time through a wearable device. When abnormal signs occur, it immediately sends an alarm to the central monitor, enabling a rapid response from anywhere in the ward.

In general wards, where most inpatients stay, it is difficult for medical staff to be constantly at the bedside, so changes in a patient's condition may be detected late. To address this, Gwangju Hanguk Hospital has applied Ssingkeu to its general wards and created an intensive care unit-level real-time monitoring environment, dramatically improving the quality and safety of inpatient services. Immediately after its introduction, the hospital successfully responded to an actual cardiac arrest crisis case, proving that Ssingkeu can play a practical role in the hospital setting.

Park Hayul, the director in charge at Gwangju Hanguk Hospital, said, "We were able to immediately identify ventricular tachycardia through the central monitor alarm, rush to the scene, and perform cardiopulmonary resuscitation within the golden time," adding, "This case once again confirmed the necessity and effectiveness of introducing Ssingkeu."

Jeong Heeyoung, head nurse at Gwangju Hanguk Hospital, also said, "This case shows that a real-time remote patient monitoring system plays a decisive role in preventing crisis situations," and added, "We will continue to strengthen our proactive management system for severe and high-risk patients and work to build a smart nursing environment that can protect patient safety even at night or during staffing gaps."

This content was produced with the assistance of AI translation services.