Dongnam Institute of Radiological and Medical Sciences Introduces AI-Based Patient Condition Deterioration Prediction Solution

"Proactively Responding to Emergencies, Saving Lives"

Dongnam Institute of Radiological & Medical Sciences (Director Changhoon Lee) will introduce the "AITRICS VC," an artificial intelligence-based patient deterioration prediction solution, starting in March to improve treatment efficiency and enhance patient safety.

The AI-based patient deterioration prediction solution analyzes real-time accumulated vital signs of hospitalized patients using AI, alerting medical staff before the patient's condition worsens. This system helps prevent emergencies and significantly increases treatment success rates through timely and appropriate interventions.

Ward nurses are checking patient conditions using an AI-based patient deterioration prediction solution.

Additionally, by assisting medical staff and reducing monitoring time, it improves work efficiency and enables the provision of enhanced medical services.

This system targets hospitalized adult patients aged 19 and above, utilizing EMR data such as vital signs, blood test results, mental status, and age to predict the risk of acute severe events (death, ICU transfer, cardiac arrest) and sepsis in general wards, as well as the risk of acute deterioration in intensive care units.

Specifically, for ICU patients, it predicts risk within 6 hours, and for general ward patients, it also predicts risk within 6 hours. Moreover, it provides a sepsis risk prediction score for general ward patients within 4 hours, supporting timely interventions.

Hospital Director Beopjong Kim stated, "With the introduction of this system, patients will be able to receive treatment in a safer hospital environment," adding, "The predicted AI information will provide valuable insights to assist medical staff in making proactive decisions, thereby increasing the chances of successful treatment."

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