Nowon Eulji Hospital Introduces Vital Care for Medical AI Solution...Predicting the risk of cardiac arrest
Apr 21, 2025
#. The cell phone alarm of a professor in charge of the internal medicine ward of Nowon Eulji University Hospital rang nonstop. At the same time, a warning light was also lit on the monitor of a patient in the nursing ward on the 7th floor. AI solutions that predict patients' risk situations early predict the patient's risk of acute severe events (cardiac arrest, death, etc.) and the alarm went off. Due to the quick action of the medical staff, the patient regained stability.
Nowon Eulji Hospital introduced 'AITRICS-VC (Vital Care)', a medical AI solution that predicts early deterioration of patient conditions, and started full-scale operation.
Nowon Eulji Hospital has had a trial period since the beginning of this year, and has been actively utilizing it for inpatients since April. Currently, more than 75% of inpatients in general wards apply the system.
Based on AI, the hospital's diagnostic system analyzes a total of 19 comprehensive data and electronic medical record data, including patients' ▲ biosignal ▲ blood test results ▲ consciousness ▲ age, and predicts patients' risk situations early.
In particular, sepsis can be predicted within four hours, and acute severe events (death, cardiac arrest, and full room to the unexpected intensive care unit) can be predicted within six hours, so the patient's crisis situation can be prepared in advance.
"The judgment of skilled medical staff and information on the risk of deterioration of a patient's condition based on AI have been added to enable us to preemptively respond to unexpected situations in the medical field," said hospital director Yoo Tak-geun. "We will continue to take the lead in introducing a medical system that will help strengthen the safety of patients and increase treatment efficiency."
Nowon Eulji Hospital introduced 'AITRICS-VC (Vital Care)', a medical AI solution that predicts early deterioration of patient conditions, and started full-scale operation.
Nowon Eulji Hospital has had a trial period since the beginning of this year, and has been actively utilizing it for inpatients since April. Currently, more than 75% of inpatients in general wards apply the system.
Based on AI, the hospital's diagnostic system analyzes a total of 19 comprehensive data and electronic medical record data, including patients' ▲ biosignal ▲ blood test results ▲ consciousness ▲ age, and predicts patients' risk situations early.
In particular, sepsis can be predicted within four hours, and acute severe events (death, cardiac arrest, and full room to the unexpected intensive care unit) can be predicted within six hours, so the patient's crisis situation can be prepared in advance.
"The judgment of skilled medical staff and information on the risk of deterioration of a patient's condition based on AI have been added to enable us to preemptively respond to unexpected situations in the medical field," said hospital director Yoo Tak-geun. "We will continue to take the lead in introducing a medical system that will help strengthen the safety of patients and increase treatment efficiency."
|
This article was translated by Naver AI translator.
