Will AI fix prior authorization—or make it worse? (arstechnica.com)

The debate surrounding the role of AI in the prior authorization process for medical care has gained momentum, as many patients and physicians report challenges in obtaining necessary approvals from health insurers. Prior authorization is intended to minimize overuse of medical services, but delays can lead to abandoned treatments, prompting calls for a more efficient system. AI has the potential to streamline this process by quickly analyzing vast amounts of data to expedite approvals for clear-cut cases, thus reducing wait times for patients. However, the integration of AI into prior authorization processes has sparked substantial concerns among medical professionals. A recent survey by the American Medical Association highlighted that 61% of physicians fear that AI might lead to increased wrongful denials of critical treatments. Critics like health policy analyst Camm Epstein emphasize that AI should facilitate access to necessary care, not obstruct it. Currently, a pilot program initiated by the Trump administration in six states aims to leverage AI to eliminate unnecessary medical spending, but the ultimate impact of this technology on patient care and approval efficiency remains uncertain.