CareOrbit replaces manual case management with autonomous AI agents that monitor members 24/7, predict risk before it escalates, and coordinate interventions without human bottlenecks.
Health plans spend $80K-$120K per care coordinator to manually review charts, call members, and track outcomes during business hours. Members with complex conditions don't wait for business hours. Neither should their care team.
Claims data, lab results, ADT feeds, social determinants. CareOrbit builds a living risk profile for every member in your population.
Proprietary models identify readmission risk, gaps in care, and medication non-adherence before they become ER visits or adverse events.
AI agents autonomously schedule appointments, coordinate referrals, send targeted interventions, and close care gaps without waiting for a human queue.
Real-time dashboards show outcomes that matter: cost per member, readmission rates, HEDIS scores, and NPS. Your care managers oversee the system, not operate it.
CareOrbit was born inside payer operations. We know which workflows can be fully automated, which need human oversight, and where the $2M in savings actually hides. This isn't a general-purpose AI platform adapted for healthcare. It's purpose-built for the care management function, by people who lived it.
Designed for risk-bearing contracts. Aligns AI actions with quality metrics and shared savings incentives.
End-to-end encryption, BAA-ready architecture, audit trails for every AI decision and member interaction.
Integrates with Epic, Cerner, Athena, and major claims platforms. No rip-and-replace required.
Every health plan will have autonomous care agents within five years. The question is whether you build the advantage now or catch up later.