news tech single source: Ars Technica

Algorithmic Cruelty: When AI Denies Care to America's Seniors

An AI pilot program used by the Trump administration in January to evaluate senior healthcare claims.

In January, the Trump administration launched a pilot program called WISeR—Wasteful and Inappropriate Service Reduction. Its stated aim was noble enough: use artificial intelligence to streamline Medicare payments for seniors, supposedly cutting down on fraud and waste. Instead, the rollout quickly devolved into a systemic nightmare for patients relying on federal healthcare.

This wasn't theoretical failure; it became painfully real. Healthcare providers documented harrowing experiences, including watching patients cry in deep pain simply because their requests for necessary procedures were stuck in administrative limbo. One physician reportedly labeled the entire endeavor "a disgrace to the human race," mirroring frustrations echoed by colleagues struggling to reach a human contact amidst mountains of automated denials.

The problems ran deep into the code and contracts. Some vendors struggled fundamentally, like Zyter, which initially couldn't differentiate between inpatient (Part A) versus outpatient (Part B) care. Others demonstrated alarming tendencies toward rejection; Virtix reviewed thousands of requests and denied over half—53 percent—of them in one snapshot alone.

Furthermore, the promised 72-hour decision window frequently dissolved into weeks or months of agonizing silence.

While administrators claimed processes needed automation to avoid crippling backlogs, front-line staff saw only bureaucracy weaponized against illness. The government watchdog also weighed in negatively, finding that Trump officials hadn't followed proper procedure when setting up the program itself, raising serious questions about its foundation.

Critics argue this isn't just poor execution; it’s an attempt to reshape essential elder care through opaque algorithms that incentivize denial over dignity.