AITRICS 'VitalCare' Code Blue Reduced by 25%
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- 2025-08-27 11:19:04
- Updated
- 2025-08-27 11:19:04
Frequency of Early Medical Intervention Increases, Long-term Hospitalization Rate Decreases
[Financial News] The medical AI company AITRICS announced on the 27th that its patient deterioration prediction solution 'AITRICS-VC (VitalCare)' reduced the in-hospital 'Code Blue' incidence rate by about 25%. The research results were published in the international journal 'JMIR Medical Informatics'.
The study is a retrospective real-world evidence (RWE) analysis comparing 17 months of data before and after the introduction of VitalCare, based on the electronic medical records (EMR) of 30,785 inpatients at Jesus Hospital. Analysis indicators included △Code Blue incidence rate △Long-term hospitalization rate △Frequency of early medical intervention.
According to the results, after the introduction of VitalCare, the Code Blue incidence rate decreased by 24.97%, and the long-term hospitalization rate in general wards also significantly decreased (P<0.05). On the other hand, the frequency of early medical intervention by medical staff increased significantly, and the algorithm's performance was found to be superior to the existing score-based risk prediction system.
Code Blue refers to an emergency situation where a patient requires immediate resuscitation due to rapid deterioration such as cardiac arrest.
However, since the survival rate remains below 20% despite the best efforts of medical staff, early detection of risk signals before cardiac arrest is considered crucial. This study is evaluated to have proven that VitalCare enables such 'proactive response'.
Kwangjun Kim, CEO of AITRICS, said, "The achievement shows that AI can practically improve patient safety in real clinical environments," and added, "We will continue to enhance the algorithm and expand its application scope to increase the safety and efficiency of medical sites."
This result suggests that AI-based patient monitoring can be an important turning point in improving the quality of domestic medical services, while also addressing the realistic limitations of medical staff shortages and work overload.
vrdw88@fnnews.com Jungmo Kang Reporter