AITRICS-VC (VitalCare)
AI Solution for predicting
Patient Deterioration
AITRICS-VS
(VitalCare)
AI Solution for predicting
Patient Deterioration
AI-based Medical Device
for predicting the risk of
deterioration of patient at an early stage
Using AI technology, we predict the deterioration of patients' conditions and provide information to various sites in hospital such as ICU and General Wards to assist medical staff in making prompt decisions.
Indication Expansion
Sepsis
Major Adverse Events
(CPR, Unexpected ICU Transfer, Mortality)
Acute Kidney Injury
Pulmonary Embolism
Department Expansion
Intensive Care Unit
General Ward
Emergency Room
1
How to
Utilize 19 comprehensive data including vital signs, blood test results, Glasgow Coma Scale and patient age
Integrate with the electronic health records (EHR) system used in the hospital, real-time patient status can be accessed from any PC connected to the hospital network
Existing early warning score can be compared and viewed on a single screen
feature - 01
Early Prediction
Based on the clinician's decision, customized predictions are made for each disease with the risk level for each time period according to the occurrence of patient deterioration. In addition, the level of risk for event is presented as a score ranging from 0 to 100, thereby supporting decision-making process by clinicians
feature - 02
Provide Evidence
Informing the causes of the results makes possible for clinicians to respond preemptively.
How it works
Based on the accurate results of the AI solution, the medical staff can efficiently allocate resources and
equipment to promptly deal with the symptoms, thereby significantly improving the hospital's operational
efficiency and enhancing the patient survival rate
Accuracy of Diagnosis
Improvement
Treatment Efficiency
Improvement
✓ Profit growth by Increasing
✓ in bed turnover rate
✓ Efficient communication
✓ between medical staff
✓ Reduction in mortality rates
✓ through proactive prevention
✓ of emergency situations
✓ Improvement of reliability
✓ in hospital and medical staff
Why AITRICS-VC
MEWS, APACHE-ll, SOFA are medical scoring systems that monitor the severity of a patient's condition by simply adding up various risk factors. Based on these scores, medical professionals infer whether early intervention is necessary for the patient. In contrast, AITRICS-VC calculates scores by considering the correlation between variables using advanced AI technology. As a result, AITRICS-VC provides prediction scores that can support accurate decision-making by medical professionals by presenting the process and evidence behind the results.
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MAES in GW
Sepsis in GW
Risk of major adverse events in general ward - prediction within 6 hours (MAES)
Risk of sepsis in general ward - Prediction within 4 hours (SEPS)
Mortality in ICU
중환자실에서의 급성상태악화(사망) 발생 위험도 - 6시간 이내 예측 (MORS)
✓ Medical Device Approval by the Ministry of
✓ Korea Food and Drug Safety