Mental Health Predictive AI
Early intervention and risk assessment for mental health crises
CLIENT
University Health Services
INDUSTRY
Campus Mental Health
TECHNOLOGIES
Predictive Analytics, ML, Behavioral Analysis
The Challenge
A university health services department was struggling to identify and support students at risk of mental health crises. Key challenges included:
- Difficulty identifying students at risk before crisis situations
- Limited resources to proactively reach out to all students
- Reactive approach leading to emergency interventions
- High rates of academic withdrawal due to untreated mental health issues
- Inability to predict which students might need support
These issues resulted in crisis situations, student dropouts, and overwhelmed counseling services unable to provide preventive care.
Our Solution
Predictive Risk Modeling
We developed a machine learning system that analyzes multiple data sources—academic performance, attendance patterns, social media sentiment, health center visits, and self-reported wellness surveys—to identify students at risk of mental health crises. The system provides risk scores and early warning indicators.
Automated Outreach System
The system automatically triggers personalized, supportive outreach to students identified as at-risk. It sends appropriate resources, connects them with counselors, and schedules check-ins based on risk level, ensuring no student falls through the cracks.
Crisis Prevention Dashboard
Counselors and administrators get real-time dashboards showing students at various risk levels, enabling proactive intervention. The system prioritizes cases and suggests appropriate intervention strategies based on individual risk profiles.
The Results
Reduction in crisis incidents
Reduction in academic withdrawals
More students receiving early support
Accuracy in risk prediction
Client Testimonial
“Mental Health Predictive AI has transformed our ability to support students proactively. We're now reaching students before they reach crisis, which has dramatically reduced emergency situations and academic withdrawals. The system has helped us identify and support three times as many students with the same resources. It's been life-changing for our campus community.”
Ready to Prevent Mental Health Crises?
Discover how predictive AI can help you identify at-risk individuals early and provide proactive support.