Care Management AI

Identify High-Risk Members Earlier. Intervene More Effectively.

Zabrizon's AI care management platform stratifies your member population by clinical and social risk, automates care plan generation, and equips care coordinators with real-time dashboards to reduce avoidable admissions and ER visits.

35%
Reduction in avoidable admissions
within 12 months
28%
Decrease in ER utilisation
for enrolled members
4.1×
More members proactively managed
vs. manual outreach
62%
Improvement in care plan adherence
across chronic conditions

Why Care Management Programmes Don't Scale

Manual care management processes cap the number of members that can be meaningfully supported — while the highest-risk members still fall through the cracks.

Reactive Identification of High-Risk Members

Without predictive risk models, care managers typically learn about high-risk members after an ER visit or hospitalisation — too late to prevent it.

Care Coordinator Capacity Constraints

Manual care coordination workflows limit each coordinator to 80–120 active cases, leaving high-risk members un-enrolled in programmes that could help them.

Fragmented Member Health Data

Claims, pharmacy, lab, and social determinants data live in separate systems — making it impossible to form a complete picture of member health status.

Underperforming HEDIS & Star Measures

Care management programmes that can't demonstrate quality measure improvement fail to justify their cost — and erode Star Ratings over time.

Care Management Compliance

Supports NCQA Case Management accreditation and CMS Star Ratings quality measures.

NCQA CM Accreditation
CMS Star Ratings Measures
HIPAA / HITECH
URAC CM Standards
HEDIS Specifications
SOC 2 Type II
Healthcare AI Experts Available Now

Ready to Transform Your Care Management Programme?

Talk to a care management specialist and get a population health assessment for your plan.