Highlights

Arizona's AHCCCS will deploy an artificial intelligence tool to screen Medicaid claims for fraud before payments go out, Gov. Katie Hobbs said in a May 7 letter to Centers for Medicare and Medicaid Services Administrator Dr. Mehmet Oz.

The tool, built by Alivia Analytics, an East Coast-based company that provides AI data analytics services to healthcare organizations and government agencies, will rank claims by their risk for fraud, waste and abuse before a provider is paid. A human reviewer will assess the highest-risk claims; providers with clean records will see quicker approvals.

Hobbs described the system as what the state believes is the United States' first "AI-informed Medicaid prepayment review system." The announcement came in direct response to an April 23 directive from Oz instructing all 50 states to revalidate "high-risk providers" in their Medicaid programs. Hobbs said AHCCCS will submit a revalidation strategy to CMS in the coming weeks.

The prepayment review issue carries political weight in Arizona. The Senate Health and Human Services Committee, led by Sen. Carine Werner, held multiple oversight hearings on AHCCCS' response to a tribal sober living home fraud scheme estimated to have cost taxpayers around $2.5 billion. Werner argued that legitimate providers were caught in the crackdown, with some closing clinics or stopping patient care due to months-long payment delays.

On the political flank, Congressman Andy Biggs, described in the Arizona Capitol Times report as the frontrunner in the GOP primary against Hobbs, told reporters May 5 that he has seen estimates claiming the state lost $10 billion to Medicaid fraud. Hobbs has vetoed several Republican Medicaid reform bills this session, calling them "unfunded mandates," and rejected the GOP budget proposal on May 5.

AHCCCS is expected to submit its high-risk provider revalidation strategy to CMS within the coming weeks.

Sources

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  1. azcapitoltimes.com retrieved 14/05/2026 15:28

Authored by The Scottsdale Signal. Drafted by AI from primary-source material under our beat-specific editorial guides; reviewed by humans before publish under our five-gate process. Sources retrieved at 14/05/2026 15:28. Every claim traces to a source.