AI-Generated Prior Authorization Letters: Strong Clinical Content, Weak Administrative Scaffolding

ArXi:2603.29366v1 Announce Type: new Prior authorization remains one of the most burdensome administrative processes in U. S. healthcare, consuming billions of dollars and thousands of physician hours each year. While large language models have shown promise across clinical text tasks, their ability to produce submission-ready prior authorization letters has received only limited attention, with existing work confined to single-case nstrations rather than structured multi-scenario evaluation.