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Attributed metadata history

REPORTPUBLIC METADATA

New Records Reveal Problems with Medicare’s AI Prior Authorization Experiment

EFF sued the government back in March for information about the Wasteful and Inappropriate Service Reduction (WISeR) model, a new Medicare program that uses AI to evaluate prior authorization requests for certain medical services. Today, we’re releasing approximately 1,000 pages of records obtained from the Centers for Medicare & Medicaid Services (CMS) through this litigation, including contracts

Reference details

Source category
Research & news
Report title
New Records Reveal Problems with Medicare’s AI Prior Authorization Experiment
First reported
Sep 08, 2026 19:19 UTC
Last reported
Sep 08, 2026 19:19 UTC
Catalog updated
Oct 08, 2026 03:44 UTC
Record ID
43cc844c71c4c77b0c085df2f752014f93f2cb10a83ca4a2a7363b5f9801ab50

Published indicators

Network indicators are visibly defanged. This page does not make them clickable or send them to another service.

No validated file hashes or network indicators are stored for this record.

Source observations

src_1face9fbd38e6da52e

Source-provided label
Not reported
Evidence class
mentioned in report
Confidence
Not reported
Observed
Sep 08, 2026 19:19 UTC
Retrieved
Oct 08, 2026 03:44 UTC

This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.

Feed collection status

Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.

1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.

Review source update dates and status
  • src_1face9fbd38e6da52eCollection status unverifiedLast successful batch: Unverified

Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.