The biggest barrier to better healthcare outcomes is not medical knowledge. It is the inability to scale care coordination and patient engagement for complex populations. Care teams at risk bearing healthcare organizations know what needs to be done, but they often lack the capacity and the tools to do it at scale.

Community health centers, federally qualified health centers, accountable care organizations, and community health networks must manage chronic disease, close quality gaps, coordinate care, and address social drivers of health for thousands of patients while operating with limited staff and fragmented systems.

CareImpact.ai was created to solve this challenge.

CareImpact.ai helps risk bearing healthcare providers scale care coordination, benefits navigation, and whole person engagement using an agentic AI execution layer.

At the core of the platform is CareAgent360, an autonomous AI system that integrates clinical, social, and behavioral data to identify patients at risk, detect care gaps, and trigger personalized outreach. The platform executes care coordination and benefits navigation workflows at scale while maintaining human oversight.

CareImpact helps providers deliver measurable value

• Improve quality performance across UDS, HEDIS, and CAHPS measures
• Strengthen chronic disease control and preventive care completion
• Enable NCQA PCMH care coordination and patient engagement requirements
• Close care gaps across large patient populations
• Reduce avoidable emergency visits and hospitalizations
• Increase patient engagement, responsiveness, and benefit utilization
• Enable patient centered care at scale without increasing staffing

CareImpact.ai is currently piloting the platform with community health organizations as it prepares for broader deployment across the safety net healthcare ecosystem.

CareImpact.ai

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