Population Health Intelligence
AI-powered analytics and intervention planning for population management
Risk Stratification Dashboard
246,872
18,426
42,158
186,288
AI-Generated Insight
The high-risk population has increased by 5.7% over the last 30 days, primarily driven by a 12.3% increase in uncontrolled diabetic patients. Consider targeted intervention for this group to prevent complications.
Risk Distribution by Age Group
Predictive Risk Trajectory (Next 90 Days)
Outbreak Detection & Infectious Disease Monitoring
3.8%
positivity rate1.2%
positivity rate6.4%
positivity rateAI Predictive Alert
The AI model predicts a 78% probability of RSV outbreak escalation in the North County region within the next 14 days based on current transmission patterns and historical data.
Intervention Impact Simulator
Intervention Parameters
Let AI optimize parameters based on your population and budget constraints.
Projected Outcomes
AI Recommendation
Increasing program participation from 65% to 80% would improve ROI to 2.4x with minimal additional cost. Consider adding incentives to boost enrollment.
Care Gap Analyzer
3,428 patients overdue > 6 months
2,156 patients overdue > 3 months
1,845 patients never screened (50-75 age)
Social Determinants of Health
SDOH Factor Distribution
AI-Detected Association
Transportation barriers strongly correlate with missed appointments (3.4x higher rate) and delayed medication refills (2.8x higher rate) in your diabetic population.
Resource Allocation Optimizer
Current Resource Distribution
AI-Recommended Optimization
Projected Impact of Optimization
The AI model suggests reallocating 10% of resources from acute/chronic care to preventive and community-based services would yield significant improvements in clinical and financial outcomes.