CareImpact.ai and HAPPI Health Expand AI Care

For more than a decade, healthcare technology vendors have promised to tell hospitals and clinics what is wrong with their patient populations. Dashboards flag rising-risk patients, analytics engines predict readmissions, and risk scores accumulate in electronic health records. What most of these tools have never done is the thing that actually changes outcomes: pick up the phone, schedule the follow-up, connect the patient to the benefit, and confirm the loop was closed. CareImpact.ai, an agentic AI care execution platform, has built its entire model around closing that specific gap, and its newly announced pilot collaboration with HAPPI Health puts that model to the test in exactly the setting where the stakes are highest: safety-net care.

From Insight to Execution

CareImpact.ai was founded on the premise that the real opportunity in healthcare AI is not generating more insight, but acting on the insight that already exists. Rather than adding another analytics layer to an already crowded health IT stack, the platform deploys AI agents that automate patient outreach, streamline care coordination, navigate patients toward available health and social benefits, and manage the follow-up workflows that typically fall through the cracks between clinic visits. Human oversight remains built into the system for situations requiring clinical or operational judgment, a design choice reflecting both regulatory reality and the company's stated philosophy that automation should extend care teams rather than replace them.

"Healthcare organizations do not need another dashboard telling them what is wrong. They need help getting the work done."

— Doron Porat, Co-Founder and CEO, CareImpact.ai

A Workforce Crisis Meets an Execution Gap

The timing of CareImpact.ai's positioning is deliberate. American healthcare providers, and community health centers in particular, are navigating a persistent workforce shortage at precisely the moment value-based payment models demand more proactive, continuous patient management. Care coordinators, community health workers, and nurses are being asked to track more patients, close more care gaps, and document more outreach than their staffing levels can realistically support. That squeeze is exactly where CareImpact.ai positions its platform, offering AI agents that pick up the operational load rather than simply flagging it.

"The future of healthcare AI is not simply generating insights, it is enabling action through intelligent care pathways. By combining advanced AI agents with clinically guided workflows, CareImpact.ai helps healthcare organizations automate routine coordination tasks while maintaining the human connection that is essential to patient care."

— Prof. Siamak "Sia" Zadeh, Co-Founder and CTO, CareImpact.ai

A Proving Ground in the Safety Net

HAPPI Health is a Federally Qualified Health Center Look-Alike offering primary care, pediatrics, behavioral health, and urgent care across multiple Tennessee Valley locations, regardless of a patient's ability to pay. Organizations like it sit at the front line of some of American healthcare's hardest problems, including chronic disease management, preventive care gaps, and the social factors, such as transportation, food security, and housing, that drive outcomes as much as any clinical intervention.

Through the pilot, HAPPI Health is using CareImpact's platform to identify patients who need additional support, automate outreach, improve preventive care completion, coordinate follow-up, and connect eligible patients with healthcare benefits and community resources. The choice of a community health center as a flagship deployment is strategically significant: safety-net providers are often assumed to be technology laggards, but they are arguably among the most motivated buyers for care-execution automation, given their complex patient panels, thin margins, and stretched staff.

"Our mission has always been to provide accessible, compassionate, high-quality care. By collaborating with CareImpact, we can strengthen patient engagement beyond the clinic, improve care coordination, and extend the reach of our care teams so more patients receive the support they need."

— Dr. George Kyle, Chief Medical Officer, HAPPI Health

A Reimbursement Landscape That Favors Execution

Beneath CareImpact.ai's market sits a quietly favorable reimbursement story. Medicare has spent the past three years building explicit payment pathways for exactly the kind of work the platform automates. Community Health Integration codes now reimburse community health worker time spent addressing the upstream drivers of poor health, and Federally Qualified Health Centers can bill separately for a growing menu of care coordination and advanced primary care management services, payment streams that were expanded and unbundled in the 2026 Medicare Physician Fee Schedule.

Capturing that revenue, however, requires documented, consistent, and auditable coordination activity, including sustained monthly outreach, care planning, benefits navigation, and follow-up. That is labor-intensive work for a human team, but a natural fit for an AI execution layer designed to perform, track, and document it at scale. For value-based providers, the pitch is twofold: stronger quality performance on the measures that determine shared savings, and better capture of coordination revenue that many under-resourced clinics currently leave on the table.

Measuring Success Beyond Analytics

Together, HAPPI Health and CareImpact.ai are targeting a concrete set of outcomes: keeping patients engaged between appointments, increasing preventive screenings, supporting chronic disease management, coordinating across the care team, connecting patients to health and social benefits, reducing manual administrative burden, and improving quality performance under value-based contracts. For CareImpact.ai, the collaboration functions as both a proof point and a statement of intent, positioning the company not as another dashboard provider, but as the execution layer for value-based care, the system that turns a risk score into a completed phone call, a scheduled screening, an enrolled benefit, and a healthier patient.

CareImpact.ai is an agentic AI care execution platform serving value-based healthcare providers. Further information is available at careimpact.ai. Media enquiries can be directed to Siamak Zadeh, Ph.D., at sia.zadeh@careimpact.ai.