AITRICS-VC is a software that uses EMR data from hospitalized patients aged 19 and older to predict the risk of major adverse events(mortality, unexpected ICU transfer, CPR), sepsis, and CPR in general wards, as well as the risk of acute deterioration (mortality) in the ICU.
To predict a patient's abnormal signs as accurately as possible, AITRICS-VC utilizes up to 19 different data points, including vital signs, blood test results, GCS, and the patient's age.
- 11 Blood Test Results: Total bilirubin, Lactic acid, pH, Sodium, Potassium, Creatinine, Hematocrit, White blood cells(WBC), Bicarbonate(HCO3), Platelets, C반응성 단백질C-reactive protein(CRP)
- Glasgow Coma Scale(GCS)
- Age
Patients Admitted to General Wards
GW(General Ward)
SEPS(SEPsis Score)
Provides a predictive score to identify patients at risk of developing sepsis in general wards within four hours
* The pivotal clinical trial, conducted on 3,668 inpatients, demonstrated a sepsis prediction accuracy (AUROC1)) of 0.869 in general wards.
MAES(Major Adverse Events Score)
Provides a predictive score to identify patients at risk of developing acute major adverse events in general wards within six hours
Acute major adverse events
Mortality
ICU transfer
Cardiac arrest
* The pivotal clinical trial conducted on 2,953 inpatients demonstrated a prediction accuracy (AUROC) of 0.961 for major adverse events (i.e. mortality, ICU transfer, cardiac arrest) in general wards.
Patients Admitted to ICUs
ICU(Intensive Care Unit)
MORtality Score
Provides a predictive score to identify patients at risk of developing acute deterioration in ICUs within six hours
* The pivotal clinical trial conducted on 754 inpatients demonstrated a prediction accuracy (AUROC) of 0.975 for mortality in the ICU.
1) AUROC : A performance metric to evaluate scoring schemes. An AUROC closer to 1 indicates better prediction performance.
AITRICS-VC
FEATURES
AITRICS-VC aids medical professionals in making medical judgments based on AI analytical results to detect abnormalities in patients at an early stage, resulting in improved operational efficiency in hospitals.
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Patient classification
Provides data for sorted patients by classifying them as “Newly Admitted, Observation, Completed, Error, or DNR”.
Alarm
Provides the latest alarm history for sorted patients, the alarm setoff time and the grounds for sorting.
AITRICS-VC predictive score
Provides the latest predictive score and the percentage change from the previous predictive score.
Early Warning Score(Early Warning Score, EWS)
Provides the Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS) on a single screen.
Vital Sign
Provides up-to-date vital signs of patients sorted by screening criteria.
HOW TO
STEP 01
Collection & use of electronic medical records (EMRs)
Allows users to monitor patients’ status on the PC screen by connecting it to the hospital's internal network.
STEP 02
AITRICS-VC's artificial intelligence model
Calculation of predictive scores
Utilizes up to 19 different data sources, ranging from inpatients’ vital signs, blood test results, and age to Glasgow Coma Scale.
STEP 03
Identifying patient abnormalities early on
Enabling prompt responses by medical professionals
It identifies patient abnormalities early on with predictive scores and enables prompt response by medical professionals.
※ This product is a medical device. Please be sure to read the 'Precautions' and 'Instructions for Use' before use.
Product Introduction Video
Mortality
