Hybrid AI Engine
Combines guideline-based rules (ACC/AHA criteria, appropriate use guidelines) with machine learning models trained on 100k+ of cases to predict cardiac risk
Risk Stratification
Calculates a risk score for each patient and triggers personalized test recommendations – e.g. “Moderate CAD risk: suggest coronary calcium scan”
Synergy with Patient Interfaces: Mobile
Enhances diagnostic specificity through patient interaction via a mobile application.
Data Aggregation
Pulls from EHR records (labs, vitals, history), RPM devices (BP monitors, glucometers), previous studies and claims data to build a 360° patient profile.
