The Future of Care Management: From Fragmentation to AI Orchestration
How unified platforms and orchestrated AI are reshaping care management execution
Healthcare organizations are under growing pressure to improve outcomes, reduce avoidable utilization, and manage rising operational complexity. Yet many care management programs remain constrained by fragmented systems, siloed workflows, and manual coordination that limit their ability to deliver consistent, enterprise-wide impact.
This Everest Group report examines how healthcare organizations can transition from fragmented care management models to unified platforms that enable orchestrated, AI-driven execution across the care continuum. Drawing on research and insights from healthcare executives, the report outlines how next-generation care management architectures combine interoperable data, standardized workflows, and intelligent orchestration layers to coordinate interventions across care coordination, utilization management, and population health programs.
What You'll Learn Inside
- Why traditional care management models struggle to deliver sustained improvements in cost and quality
- How orchestrated and agentic AI enable more proactive, closed-loop care management execution
- The operational and architectural barriers preventing AI from scaling beyond pilots
- Key capabilities required for a unified care management platform
- How healthcare organizations can establish the governance, workflows, and data foundations needed to scale AI across enterprise care management
Download the White Paper
Get your copy of The Future of Care Management: From Fragmentation to AI Orchestration and learn how AI orchestration can help healthcare organizations move beyond fragmented systems.
