---
title: Case Study - Advancing Health Outcomes with Predictive Analytics
description: Discover how DWIHN transformed behavioral health outcomes through unified data, predictive analytics, and intelligent automation, achieving significant cost savings and improved care coordination.
image: https://go.vitaldatatechnology.com/hubfs/DWIHN%20Case%20Study.BannerAll-1.png
---

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**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:

- **30% reduction in high-cost inpatient utilization**
- **$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:

- How to create a 360-degree, real-time view of patient data across systems
- Ways to identify and intervene on high-risk populations earlier using predictive analytics
- How to embed intelligence directly into workflows to drive coordinated, whole-person care
- Strategies for improving quality performance while reducing total cost of care

 

# Download the full case study to see how integrated data, advanced analytics, and intelligent automation can transform behavioral health outcomes and operational performance.

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Vital Data Technology is transforming the healthcare ecosystem by empowering healthcare stakeholders with prescriptive insights to improve member health and lower costs. Vital Data Technology leverages embedded, real-time data science, AI, and analytics together to drive intelligent automation through their cloud-based Affinitē platform.

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