Caliper META: An AI-Model for Preventing Medicaid Disenrollment in CHCs and FQHCs
As H.R. 1 reshapes Medicaid eligibility, Caliper’s AI-driven Medicaid Eligibility Tracking & Action (META) model gives community health centers a new way to identify which patients are most likely to lose coverage—and which interventions are most likely to keep them enrolled.
CHCs are entering one of the most consequential Medicaid eligibility moments since the unwinding of pandemic-era continuous coverage. The 2025 federal budget reconciliation law, H.R. 1, introduced new Medicaid “community engagement” requirements for certain adults, including an 80-hours-per-month work, school, volunteering, or qualifying activity standard, with implementation beginning in 2027 for many affected populations. The law also brings more frequent eligibility checks for some Medicaid enrollees, increasing the administrative burden on states, providers, and patients alike.1
For FQHCs and CHCs, the issue is not abstract policy. It is an operational emergency given how these institutions care for patients who are more likely to face unstable employment, housing insecurity, limited transportation, language barriers, chronic illness, caregiving responsibilities, and difficulty navigating government paperwork. Many patients who lose Medicaid do not lose it because they are no longer eligible; they lose it because the system becomes too complicated to navigate in time.
In expansion states, NACHC reports that Medicaid covers 52% of CHC patients, compared with 32% in non-expansion states, underscoring how dependent many health centers are on stable Medicaid enrollment. 2 The Commonwealth Fund estimates that Medicaid work requirements could lead to up to 5.6 million CHC patients losing coverage, with potential health center revenue losses reaching up to $32 billion.3
That is the context for Caliper’s launch of its META model- a predictive and prescriptive analytics solution designed specifically for the resource-constrained environment of CHCs and FQHCs.
Caliper’s platform identifies patients at highest risk of disenrollment, estimates which patients are most likely to re-enroll after a lapse, and flags those most exposed to new Medicaid work documentation requirements. To do this accurately, Caliper combines three complementary validated models: a Cox survival model for time-to-disenrollment with a C-statistic of 0.87, a re-enrollment classifier with an AUC-ROC of 0.83, and a work-requirement model with an AUC-ROC of 0.87.
The distinction matters. A conventional outreach program might treat every renewal or documentation gap as equally urgent. Caliper’s approach prioritizes patients at the intersection of high risk and high impactability: those most likely to fall off coverage, and those for whom targeted intervention is most likely to change the outcome.
That combination (risk plus actionability) is especially important for CHCs. Eligibility teams, enabling services staff, care coordinators, and outreach workers rarely have the luxury of unlimited time. They need to know not only who is vulnerable, but who should receive a text message, who needs a phone call, who needs transportation support, who needs work-documentation assistance, who may qualify for an exemption, and who needs an AI-enabled agent or staff navigator to help complete and submit paperwork.
The model’s use of SDoH data is central. Research and policy literature increasingly emphasize that health centers must understand prevalent social risks in their communities and use those insights to guide screening, outreach, and intervention design. In this case, the relevant “intervention” may not be a clinical referral. It may be a completed eligibility form, a food services intervention, a timely eligibility renewal, or a work-requirement submission before a patient becomes uninsured.
Caliper is also making AI agents available to automatically complete and submit eligibility forms, a capability that could reduce one of the most persistent sources of Medicaid churn: paperwork friction. For CHCs, this is more than administrative automation. It is a way to convert predictive insight into closed-loop action.
The potential financial impact is substantial. Medicaid is a critical revenue source for CHCs, and coverage loss can quickly become both a patient-access problem and an institutional sustainability problem.
For patients, the stakes are even more immediate. Losing Medicaid can mean missed medications, delayed chronic disease care, postponed behavioral health visits, and loss of access to specialty care. For health centers, it can mean more uncompensated care, more staff time spent on crisis navigation, and fewer dollars available for enabling services—the very services that help vulnerable patients remain connected to care.
That is why Caliper’s launch arrives at a pivotal moment. The META model has already been implemented in one state and ready for implementation across others, at a moment when health centers need exactly that: a way to move from broad concern to targeted action, from retrospective reporting to prospective prevention, and from eligibility churn to measurable retention.
Sources
1 Center for Health Care Strategies: https://www.chcs.org/resource/a-summary-of-national-medicaid-work-requirements/
2 NACHC: https://www.nachc.org/privately-insured-community-health-center-patients-face-uncertainty/
3 The Commonwealth Fund: https://www.commonwealthfund.org/blog/2025/community-health-center-patients-medicaid-coverage-work-requirements
