Dong-A University Hospital Implements AI Biometric Signal Monitoring System 'thynC' in 272 Beds

24-Hour Monitoring of ECG and Oxygen Saturation with Wearables

Aiming to Eliminate Blind Spots Outside the Intensive Care Unit

Dong-A University Hospital, in collaboration with Daewoong Pharmaceutical, has introduced an artificial intelligence (AI)-based real-time biometric signal monitoring system to 272 general ward beds. This expands the intensive monitoring system, which was previously limited to intensive care units, to general inpatient wards, making it the largest of its kind among tertiary hospitals in the Busan, Ulsan, and Gyeongnam regions.

Officials from Dong-A University Hospital, Daewoong Pharmaceutical, and Sears are conducting a tape-cutting ceremony at the opening event of Dong-A University Hospital's smart ward. Photo by Dong-A University Hospital

The system, called 'thynC,' was developed by Theers and distributed by Daewoong Pharmaceutical. When patients wear a wearable device, key biometric signals such as electrocardiogram (ECG), oxygen saturation, and respiratory rate are collected and analyzed 24 hours a day. If the AI algorithm detects any abnormalities, it immediately sends an alert to the medical staff. This enables real-time detection of warning signs—such as asymptomatic arrhythmias or sudden deterioration—that were previously difficult to identify early.

Unlike intensive care units, general wards have areas where continuous monitoring by medical staff is challenging, creating blind spots where changes in patient condition may be recognized late. The hospital expects that the central monitoring system, which allows simultaneous observation of multiple patients’ conditions, will help reduce the burden of rounding and manual work for staff.

Hee-bae Ahn, Director of Dong-A University Hospital, stated, "This marks an important turning point for building a medical environment where patient safety comes first." Daewoong Pharmaceutical announced plans to expand thynC to include 24-hour blood pressure and blood glucose measurement functions in the future.

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