Anyone who has waited for an insurer to approve a medication or procedure knows the frustration of prior authorization — the pre-approval step that stands between a doctor's recommendation and actual treatment. Now artificial intelligence is entering that process.
According to Ars Technica, writer Joshua Cohen examines how AI could reshape insurance-coverage decisions such as prior authorization. The report comes as the Trump administration begins piloting the use of AI to evaluate Medicare claims.
Cohen frames the issue in personal terms, noting that many readers — himself included — have struggled through the process of gaining pre-approval for care. That everyday experience is what makes the shift toward automated decision-making significant: the same approvals that already delay or deny treatment may increasingly be shaped by algorithms rather than people.
The Ars Technica piece looks at AI's potential impact, signaling that much about how these systems will perform, and how they will affect patients, remains to be seen as the Medicare pilot gets underway.
Why it matters: prior authorization already determines whether millions of people can access the care their doctors prescribe, so handing any part of that judgment to AI raises high-stakes questions about accuracy, fairness, and accountability — starting with one of the country's largest health programs.