Crack down on fraud and waste in Medicare hospice networks.

cracking down on fraud and waste in Medicare’s hospice networks

Stanton commits to addressing fraud and waste in Medicare hospice networks.

Health Care | Congressman Greg Stanton
primary · campaign_site · model gpt-5.4-mini

Arizona families deserve a health care system that works for everyone--regardless of one’s income or zip code. That starts with reducing prescription drug costs for seniors, capping insulin at just $35 a month, cracking down on fraud and waste in Medicare’s hospice networks, expanding access to quality healthcare services in the Valley, and protecting insurance coverage for pre-existing conditions.

Stanton’s official House health-care page states the hospice-fraud crackdown as an active priority, showing the promise was carried into office messaging but not by itself proving completion.

partial same_term

Health Care | Congressman Greg Stanton
primary · model gpt-5.4-mini · confidence 93%

Whistleblowers identify waste, fraud, abuse, and other misconduct. They play a vital role in helping Congress to conduct its constitutionally mandated oversight responsibilities.

Stanton set up a whistleblower intake on his official site for waste, fraud, and abuse complaints, which is concrete oversight infrastructure consistent with the promise.

partial same_term A for effort

Whistleblower Submissions | Congressman Greg Stanton
secondary · model gpt-5.4-mini · confidence 81%

This bill requires the Centers for Medicare & Medicaid Services (CMS) to deactivate the standard unique health identifiers of health care providers that are excluded from federal health care programs because of fraud, waste, or abuse.

Greg Stanton sponsored a federal bill targeting Medicare fraud, waste, and abuse in 2025. It is concrete action toward the broader anti-fraud pledge, but it is not hospice-network-specific and does not by itself show enactment.

partial same_term A for effort

H.R. 1784 - Medicare Fraud Detection and Deterrence Act of 2025 | GovInfo
secondary · model gpt-5.4-mini · confidence 79%