Establishment of AI system for predicting cardiac arrest at Yeouido St. Mary's Hospital...Customized healthcare delivery
Jan 14, 2025
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The AI-based cardiac arrest prediction system analyzes the patient's biometric data in real time to predict the possibility of cardiac arrest early. It comprehensively analyzes major biological signals such as heart rate, blood pressure, respiratory rate, and body temperature, blood test results, and the patient's age to help medical staff detect and respond quickly to emergencies in advance.
This technology, which boasts higher accuracy than existing systems, assists medical staff's judgment and enables more precise treatment plans. Hospitals are accelerating their transition to smart hospitals by providing patient-specific medical services through these technologies.
Kang Won-kyung, head of the Medical Center, said, `The introduction of the AI cardiac arrest prediction system is meaningful as an important turning point in protecting patient life.'"We will provide innovative medical services that combine medical staff expertise and AI technology." he said.
Responding to the medical staff's response to the AI-based cardiac arrest prediction system, Dr. Kang "is very positive. Patient monitoring can be strengthened and medical staff can have time to focus on more important decisions."
In addition, when asked about smart hospital transformation, he said "Recently, digital innovation is accelerating in the medical community, and our hospitals are also introducing patient monitoring systems using AI in many ways. This introduction of the cardiac arrest prediction system will be an important first step toward patient-specific healthcare."
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This article was translated by Naver AI translator.
