The Challenge
Early clinical risk identification in hypertensive patients often failed due to fragmented electronic health records and un-monitored outpatient blood pressure trends.
Our Solution
Developed a predictive data science pipeline using supervised Machine Learning to continuously analyze patient vitals and trigger clinical risk alerts for early intervention.
Business Impact
88%Risk Stratification Precision
Early AlertAutomated Doctor Alerts
35%Faster Intervention Rate