Behavioral Analytics
Predict substance use relapse risk with advanced behavioral analytics. Empower early interventions and improve patient outcomes with data-driven insights.
Continuously monitor patient behavioral patterns and receive instant risk alerts
Identify high-risk patterns before they lead to relapse events
Trigger automated interventions at the optimal moment for maximum effectiveness
Patient Risk Level
Key Risk Indicators
Aggregate behavioral data from EHR systems, wearables, and patient check-ins to create comprehensive patient profiles.
Advanced machine learning models analyze patterns to identify risk factors and predict relapse probability with high accuracy.
Receive actionable recommendations and automated intervention triggers to support patients at critical moments.
Monitor patients in addiction recovery programs and identify those at highest risk of relapse for targeted support.
Integrate relapse predictions into depression, anxiety, and trauma-related treatment protocols for holistic care.
Scale evidence-based interventions across diverse populations with limited clinical resources.
Leverage AI-driven insights to advance understanding of relapse mechanisms and develop novel interventions.
Combine structured EHR data, behavioral assessments, and unstructured clinical notes
Understand exactly which factors are driving risk predictions for each patient
Configure automated responses based on clinical protocols and patient preferences
Enterprise-grade security with full encryption and audit logs
Schedule a personalized demo to see how Relapse Predictor can improve outcomes at your organization.