Inje University Ilsan Paik Hospital has adopted "thynC," an artificial intelligence-based real-time patient monitoring system, marking its full-scale entry into smart ward operations.
The hospital said Thursday it has established a system that collects and analyzes key vital signs of inpatients — including electrocardiograms (ECGs), oxygen saturation, heart rate, respiratory rate and body temperature — 24 hours a day in real time, using patch-type ECG sensors and smartwatch-style wearable devices.
Unlike existing wired monitoring equipment, thynC operates wirelessly, minimizing restrictions on patient mobility. The collected data is analyzed in real time by AI algorithms to detect cardiovascular abnormalities such as arrhythmia, ventricular tachycardia, cardiac arrest and stroke risk at an early stage.
Medical staff can check patient conditions not only on central monitors but also via smartphones and tablets, enabling rapid response within the golden hour.
The system can also capture hidden risks such as paroxysmal atrial fibrillation and myocardial ischemia in asymptomatic patients, and detects various warning signals including falls, hypoxia and respiratory failure in real time. As vital sign data is automatically linked to electronic medical records (EMR), the burden of repetitive measurement and documentation on nurses has been reduced.
The adoption aligns with the broader trend of digital healthcare expansion. Amid growing demand for inpatient monitoring driven by aging populations and rising chronic diseases, the medical community is paying attention to smart wards incorporating AI and wearable technology as a solution that enhances both patient safety and medical efficiency.
"With this AI-based system, we have further strengthened inpatient safety and provided a more comfortable ward environment," said Cho Sung-woo, head of the Digital Medical Information Innovation Center at Ilsan Paik Hospital. "We will actively adopt advanced smart medical technologies to expand patient-centered services."
