Case Study
Overview
A healthcare payer organization leveraged Innoira's AI analytics platform to predict patient health risks, identify high-risk populations, and enable proactive care interventions across their 2.5 million member base.
BUSINESS CHALLENGES
- Reactive care model resulted in costly emergency interventions and hospitalizations
- Limited visibility into member health trends until claims were submitted
- Difficulty identifying members who would benefit most from care management programs
- Fragmented data across providers made holistic risk assessment challenging
SOLUTION IMPLEMENTED
- Built AI predictive models using claims, pharmacy, lab, and social determinants data
- Created risk stratification dashboards for care management team prioritization
- Automated member outreach triggers based on predicted health deterioration
- Integrated predictive insights with provider care coordination platforms
Impact Delivered
3x Faster
Risk Identification
Early detection of at-risk members
-28%
Preventable Admissions
Reduction in avoidable hospitalizations
4.2:1
Care Management ROI
Return on targeted intervention programs
+52%
Member Engagement
Increase in preventive care participation