VitalCare
Risk Prediction Solution
for In-hospital Emergency
for Early Diagnosis of Acute Diseases
AI Software in Healthcare
It reduces mortality while enables efficient hospital resources
and timely treatment by early diagnosis
Disease Enlargement
Sepsis /
Death
Acute Kidney
Injury
Pulmonary
Embolism
Prediction of
Corona Patient
Status
Ward Enlargement
Intensive Care
Unit
General
Ward
Emergency
Room
How to
Implemented into the Central Monitoring System to view patient status in real-time via dashboards at the desk
Rapid response to emergency situations by adding alerts via mobile platforms such as tablet and phones in real-time
Operational efficiency through smooth introduction in each hospital by supporting linkage with EMR systems
feature - 01
Early Prediction
Based on the clinicians decisions, we set the risk level at each time period depending on occurrence of acute disease to predict by specific diseases. Moreover, providing the accuracy of outcomes helps physicians make appropriate clinical decisions.
Sepsis Onset Rate - Within 2/4/6 hours Prediction
Mortality Rate - Within 3/6/12 hours Prediction
feature - 02
Provide Evidence
Informing the causes of the results makes possible for clinicians to respond preemptively.
Who is VitalCare for
Based on accurate results from AI solutions, the suitable arrangement of personnel and equipment enables medical staff to quickly respond to abnormal symptoms, significantly improving hospital operational efficiency and improving patient survival rate.
Medical Centers
Improve
Clinic Accuracy
Increase
Treatment Efficiency
Increase profits by rising bed turnover rate
Efficient communication between medical staff
Reduce mortality by preventing emergencies in advance
Improve reliability of hospital and medical staff
Why VitalCare
Medical Scores such as MEWS / APACHE-2 / SOFA, existing evaluation tools monitor the current severity status by summing the patient's risk factor scores. The medical team determines whether the patient needs an early response by inferring based on the score.
VitalCare calculates objective scores based on advanced artificial intelligence technology by considering the correlation between each variable. It also provides a prediction score that can support the medical staff's accurate judgment by presenting the process and the evidence for the result.
MAE in GW
VitalCare
AUROC: 0.886
MEWS
AUROC: 0.0595
NEWS
AUROC: 0.597
48%
Incr
Sepsis in GW
VitalCare
AUROC: 0.944
qSOFA
AUROC: 0.748
26%
Incr
Mortality in ICU
VitalCare
AUROC: 0.991
SOFA
AUROC: 0.927
APACHE-2
AUROC: 0.927
7%
Incr
Sepsis in ICU
VitalCare
AUROC: 0.823
SOFA
AUROC: 0.713
15%
Incr
Terms
GW : General Ward
ICU : Intensive Care Unit
MAE : Major Adverse Event
AUROC : Area Under Receiver Operating Characteristic
User Review
Detecting and treating patients who are in critical conditions requires lots of experience and clinical support. VitalCare by AITRICS isn’t just an alarm system, but it provides specific time-point prediction and interpretation of causes to assist critical patient care.
Prof. Kyungsoo Chung, specialist in the intensive care unit at Yonsei University Severance Hospital
With a group of highly educated AI researchers, AITRICS owns competitive technology and the expertise with deep understanding in the healthcare system, and not to mention the AI platform which is applicable at any time if needed. What more could one wish for?
Prof. Taehyun Hwang, leading machine learning and bioinformatics research, Cleveland Clinic
Detecting and treating patients who are in critical conditions requires lots of experience and clinical support. VitalCare by AITRICS isn’t just an alarm system, but it provides specific time-point prediction and interpretation of causes to assist critical patient care.
Prof. Kyungsoo Chung, specialist in the intensive care unit at Yonsei University Severance Hospital
