Can AI Fix Prior Authorization, or Will It Make Health Insurance Denials Worse?

Artificial intelligence is being rapidly integrated into health insurance systems to manage prior authorization, with the goal of reducing administrative delays for patients and physicians. While proponents argue that AI can expedite the approval of routine, medically necessary treatments, medical organizations and patient advocates have raised significant concerns regarding the potential for automated systems to increase wrongful coverage denials.

Prior authorization is a utilization management tool used by health insurers to confirm that a prescribed treatment or medication is medically necessary before the plan covers the cost. According to the American Medical Association (AMA), the process has long been a source of friction, often leading to delayed care and increased administrative burdens on medical practices. As insurers shift toward algorithmic decision-making, the debate centers on whether these tools will streamline the path to care or create new, opaque barriers for patients.

The Shift Toward Algorithmic Prior Authorization

The core promise of AI in the prior authorization process is efficiency. By applying machine learning models, insurers aim to automate the review of straightforward requests that align with established clinical guidelines.

However, the transition to automation is not without risk. The 2025 American Medical Association survey of physicians highlighted widespread apprehension regarding the implementation of these technologies. The data indicates that 61 percent of physicians are concerned that AI-driven tools will exacerbate existing problems by leading to more frequent, incorrect denials of medically necessary treatments.

Regulatory Oversight and Transparency

Balancing Efficiency with Patient Safety

The impact of AI on patient care is multifaceted. When functioning correctly, AI can remove the “hoops” that patients often describe when struggling to secure coverage for essential care. By identifying unambiguously allowable claims, AI can reduce the administrative load on medical office staff, potentially freeing them to focus on patients rather than paperwork. This potential for efficiency is a primary driver for the industry’s investment in these tools.

Conversely, the risk of “wrongful denials” poses a significant threat to health outcomes.

What Comes Next

The debate over AI in prior authorization will likely intensify as more insurers adopt these systems. As these systems are upgraded, the healthcare community will be monitoring whether the integration of AI leads to measurable improvements in approval times or a rise in contested coverage decisions.

As this technology continues to evolve, the focus remains on whether the promise of speed will be realized without compromising the standard of care that patients expect from their insurance providers.

Have you or a family member experienced a denial that you believe was handled by an automated system? Please share your experiences in the comments below as we continue to track how these technologies affect patient access to care.