The Department of Justice announced on June 3, 2026, that Community Care Health Network, doing business as Matrix Medical Network; DPN USA, doing business as HealthFair; and HealthFair founder Shahriah "James" Ekbatani have agreed to pay a combined $56.5 million to resolve False Claims Act allegations tied to fraudulent Medicare Advantage risk-adjustment coding. The settlement arises from two separate qui tam whistleblower suits — one filed in the Southern District of New York and one in the Eastern District of Texas — and covers conduct that the government alleges spanned from 2014 through 2019, a period during which both companies conducted large volumes of in-home health assessments for Medicare Advantage plan beneficiaries.

Under the settlement terms, Matrix Medical Network will pay $36.5 million to resolve claims originating from the SDNY qui tam action. HealthFair will pay $5 million. Ekbatani, HealthFair's founder, will pay $15 million separately to resolve the EDTX qui tam suit. The two whistleblowers who filed the underlying cases will share in the recovery: Nancy Cahill, who brought the SDNY action, will receive $7.3 million; and Robert Oristaglio Jr., D.O., who filed the EDTX case, will receive $3.6 million from the settlement proceeds. The two qui tam relators together recover approximately $10.9 million from a $56.5 million resolution, reflecting the government's standard practice of awarding between 15 and 30 percent of recoveries to qui tam plaintiffs who provided original information enabling the prosecution.

The Fraud Scheme: False Diagnoses to Inflate Risk Scores

The government's allegations center on a straightforward but lucrative fraud theory in the Medicare Advantage risk-adjustment system. Matrix's in-home health assessment program, which sent clinicians to conduct assessments at Medicare Advantage enrollees' homes, recorded diagnoses of serious conditions — including atrial fibrillation, rheumatoid arthritis, and chronic obstructive pulmonary disease — without the supporting clinical criteria required to substantiate those diagnoses under standard medical documentation requirements. By adding unsupported high-acuity diagnoses to patient records, the assessments inflated the risk-adjustment scores that Medicare Advantage Organizations use to determine how much they receive from Medicare in per-member capitation payments. Higher risk scores generate higher payments; false risk scores generate fraudulent overpayments from the federal Medicare trust fund.

HealthFair, which Matrix acquired in 2018, operated a similar scheme with even more troubling specifics. HealthFair's assessments separately recorded diagnoses of HIV/AIDS and metastatic cancer without documentation confirming the patients actually had those conditions. Both conditions carry significant risk-adjustment weight under the Medicare Advantage payment model, generating substantial incremental capitation payments for each patient incorrectly coded as having them. The government's theory is that these diagnoses were added specifically to inflate risk scores rather than to reflect genuine clinical findings, which constitutes a false claim against the federal Medicare program. The HIV/AIDS and metastatic cancer diagnoses are among the highest-weight conditions in the CMS risk-adjustment model, meaning that even a relatively small number of false codes generates outsized financial impact relative to lower-acuity miscoding.

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Matrix acquired HealthFair in 2018, bringing both companies' practices — and potential liabilities — under a single corporate umbrella. The combined enterprise operated a large-scale in-home assessment model processing significant volumes of Medicare Advantage beneficiaries across multiple states. The scale of that operation amplified the financial impact of systematic over-coding: even a modest rate of false diagnoses across a large patient population generates disproportionate improper payments when high-weight conditions are involved.

What It Means for Contractors

For companies operating in Medicare Advantage — including in-home assessment vendors, chronic care management firms, value-based care contractors, and health IT companies supporting risk-adjustment coding workflows — the Matrix and HealthFair settlement carries direct implications. The core fraud theory the government pursued here is not exotic: it is the same risk-adjustment coding fraud theory DOJ and HHS-OIG have pursued in numerous prior Medicare Advantage enforcement actions. What distinguishes this case is the operational scale of the alleged scheme — coordinated systematic over-coding across a large in-home assessment operation — and the willingness of inside clinicians and employees to serve as whistleblowers with detailed, documented knowledge of how the diagnoses were recorded and what clinical criteria were absent at the time of coding.

The whistleblower payouts are particularly significant context for health contractors. Nancy Cahill received $7.3 million and Robert Oristaglio Jr., D.O., received $3.6 million — substantial financial incentives for employees, clinicians, or contractors who observe risk-adjustment coding practices lacking adequate clinical documentation support. The False Claims Act's qui tam provisions give any person with original knowledge of fraud against the government the right to file suit on the government's behalf and collect a percentage of the recovery. Contractors should assume that clinical staff, compliance personnel, and revenue cycle employees at Medicare Advantage risk-adjustment vendors understand this financial incentive and are evaluating their own organizations' coding practices against it on an ongoing basis.

The practical compliance takeaway is stark. In-home assessment programs and other risk-adjustment coding operations must document every diagnosis code with clinical findings that independently support the diagnosis. Codes added to patient records must reflect actual clinical determinations made by the treating clinician, not administrative targeting of high-weight conditions. Retrospective audits of coding patterns — looking for anomalous rates of high-acuity diagnoses, conditions rarely documented by treating physicians, or diagnosis codes concentrated in assessment-visit encounters rather than ongoing care — are precisely the analytical approach DOJ and HHS-OIG use to identify risk-adjustment fraud targets. Companies whose internal data would generate red flags under that analysis should treat this settlement as an immediate call to action and engage compliance counsel accordingly.

The settlement also underscores the government's sustained focus on Medicare Advantage as a fraud enforcement priority. As Medicare Advantage enrollment has grown to cover more than half of all Medicare beneficiaries, the risk-adjustment payment system has become one of the largest federal payment mechanisms subject to manipulation through coding practices. Health contractors in this space should expect continued investigative activity and invest accordingly in compliance infrastructure, clinical documentation standards, and internal audit programs designed to detect and correct coding errors before they become the basis for a False Claims Act investigation.

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