Operationalizing Predictive Intelligence in Behavioral Health
Discover how Detroit Wayne Integrated Health Network (DWIHN), one of Michigan’s largest community mental health organizations, transformed care delivery and improved outcomes across a complex behavioral health ecosystem.
In this case study, you’ll learn how DWIHN partnered with Vital Data Technology to unify fragmented data, operationalize predictive insights, and enable proactive, prevention-first care at scale—resulting in measurable improvements in quality, cost, and coordination.
Key Results Include:
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30% reduction in high-cost inpatient utilization
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$75.6M in potential cost avoidance across behavioral health programs
- 137% average improvement across 15 HEDIS measures
- 3x growth in care coordination reach year-over-year
What You'll Learn:
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How to create a 360-degree, real-time view of patient data across systems
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Ways to identify and intervene on high-risk populations earlier using predictive analytics
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How to embed intelligence directly into workflows to drive coordinated, whole-person care
- Strategies for improving quality performance while reducing total cost of care