The application of artificial intelligence (AI) in healthcare has long been touted as a potential game-changer, promising advances in diagnoses, treatment personalization, and healthcare delivery. However, a new Medicare program centered on AI decision-making is causing controversy, as it delays and denies crucial care for some of the most vulnerable people in the United States. The issue has sparked outrage among patients, lawmakers, and healthcare professionals who claim this system experiments on Medicare recipients to the detriment of their health.

AI and the WISER Model: A Controversial Initiative

The Centers for Medicare and Medicaid Services (CMS) launched the Wasteful and Inappropriate Service Reduction (WISER) model earlier this year. The program, introduced during the Trump administration under the leadership of then-CMS administrator Dr. Mehmet Oz, uses AI and machine learning tools to scrutinize Medicare claims. The goal, according to CMS, is to identify and prevent unnecessary spending by flagging services that may be prone to fraud, waste, or abuse.

Machine learning—a sophisticated subset of AI—allows algorithms to analyze data patterns and make decisions without human intervention. While such technology has proven effective in diagnostic applications, such as identifying cancerous lesions, its use in managing healthcare bureaucracy is proving contentious. Critics argue that the WISER model shifts decisions away from medical professionals and places undue reliance on automation, leading to significant delays and outright denials of care.

How the WISER Model Works

The WISER model targets a preselected list of medical services that CMS deems at high risk for misuse. Claims flagged by the program must go through an additional layer of review, with decisions outsourced to private third-party tech companies. These reviews can significantly delay treatments, forcing patients and healthcare providers to wait for approval before proceeding with necessary medical procedures.

According to a report in The Seattle Times, patients seeking treatments for conditions like spinal degeneration and severe back pain have experienced weeks- or months-long waits—or total denials—for authorization that was previously granted within days. States currently testing the WISER model include Arizona, New Jersey, Ohio, Oklahoma, Texas, and Washington. CMS plans to roll out the program nationwide and apply it to more medical procedures.

Impact on Vulnerable Populations

The Medicare system primarily serves Americans aged 65 and older—a demographic more likely to experience chronic pain and severe illnesses requiring complex care. For these individuals, timely access to treatment can directly affect their quality of life and long-term health outcomes. However, delays attributed to the WISER model are already leading to negative consequences.

Patients interviewed by The Seattle Times described their frustrations with prolonged waits and the detrimental effects on their well-being. Treatments essential to maintaining mobility and managing pain are often inaccessible for extended periods, undermining the purpose of Medicare. One patient described how the delays have "robbed them of their quality of life," while others expressed feelings of powerlessness.

The outsourcing of these decisions to private companies adds another contentious layer. Critics claim that these for-profit entities are incentivized to issue denials quickly because their revenue increases for each claim rejection. As a result, mistakes go unaddressed, delaying critical care for those who need it most.

Experimenting on the Powerless?

Technology journalist Jacob Ward, author of The Loop: How AI is Creating a World Without Choices and How to Fight Back, argues that programs like WISER perpetuate a dangerous trend of testing automated systems on vulnerable populations. He likens this issue to earlier cases, such as California’s use of AI during the COVID-19 pandemic to process unemployment applications—a system that erroneously rejected one in ten claims, creating chaos for those affected.

"We have a long tradition of experimenting on powerless people," says Ward. According to him, Medicare recipients denied benefits by AI algorithms often lack the resources or knowledge needed to navigate complex appeals processes. In these cases, human oversight could resolve straightforward errors, such as approving treatments patients have received for years without issue. Unfortunately, the emphasis on efficiency often sidelines such interventions, to the detriment of patient care.

The Issue of Trust

Public confidence in AI's role in healthcare is low, particularly among older adults. A study cited by Ward shows that only 31% of people aged 65 or older trust automated systems to make decisions about their medical care. For those denied critical treatments by an AI-driven program, trust in the system erodes further.

Congresswoman Becca Balint of Vermont has emerged as a vocal critic of the WISER model, calling out its reliance on automation and profiteering at the expense of vulnerable seniors. She warns that the system creates barriers rather than solutions, delaying access to essential healthcare services for those who can least afford to wait.

What Needs to Change?

At the core of the debate is whether AI should replace human discretion in medical decision-making. While AI excels at analyzing vast amounts of data to identify patterns, it falls short in understanding the nuances of individual cases. The limitations of AI become glaringly apparent when human judgment is bypassed, especially in matters as complex and personal as healthcare.

Stakeholders, including lawmakers, healthcare advocates, and affected patients, are calling for greater accountability and transparency. Critics demand that AI's role in Medicare be reined in and that human oversight be prioritized to prevent errors and ensure prompt care. Further, they advocate for a re-evaluation of financial incentives for third-party companies to discourage profit-driven denials of care.

Final Thoughts

AI holds incredible potential to transform healthcare in meaningful ways, from advancing diagnostics to accelerating drug discovery. However, its application in administrative areas like Medicare requires careful consideration and oversight. Programs like the WISER model reveal the dangers of prioritizing efficiency and cost-saving over patient well-being. To avoid further disenfranchisement of vulnerable populations, policymakers must address the flaws in these systems and center reforms around patient care, not profit margins.