The government has launched a pilot program using artificial intelligence to speed up insurance coverage decisions in healthcare. The initiative aims to streamline prior authorization, a process long criticized for delays that force patients to abandon recommended care. However, a 2025 American Medical Association survey reveals that 61% of physicians worry AI might increase wrongful denials, worsening one of the most pressing issues in U.S. healthcare.
How prior authorization works with AI
Prior authorization is a mechanism used by insurers to verify the medical necessity of expensive drugs, procedures, or technologies. When used judiciously, it prevents overuse and excessive spending. But in practice, many patients face long waits, sometimes leading to abandonment of therapy. AI could theoretically review straightforward claims quickly, approving them in minutes rather than days. The government pilot tests exactly this scenario, using algorithms to evaluate clinical documentation and reduce human workloads.
Sponsored Protocol
Risks of automated healthcare decisions
Despite potential benefits, physicians remain skeptical. The AMA survey found that 61% of doctors believe AI could worsen denials for necessary treatments due to algorithmic errors or overly restrictive criteria. Patients who receive a denial can appeal, but the process takes additional time and resources, negating speed advantages. The challenge is to balance efficiency and accuracy, avoiding automation that amplifies disparities in access to care.
Legacy infrastructure hinders AI implementation
AI adoption in healthcare clashes with outdated systems, a problem seen in other sectors. As highlighted in the article on LinkedIn, Walmart, and Zendesk reveal: legacy infrastructure slows AI agents, lack of modern systems can limit intelligent agents. For prior authorization, hospitals and insurers must integrate AI with old databases and paper workflows, increasing error and delay risks.
Sponsored Protocol
Future prospects and need for regulation
The pilot's outcome will be crucial for AI's future in coverage decisions. Experts call for clear guidelines to ensure transparency and appeal rights. Meanwhile, the medical community remains divided: some see AI as a chance to reduce bureaucracy, others fear new complexity. For more, refer to Wikipedia on prior authorization.
Source: https://arstechnica.com/ai/2026/07/will-ai-fix-prior-authorization-or-make-it-worse
