• Technology alone won’t solve prior authorization. • But refusing to adopt it guarantees the status quo: a system where insurers operate at machine speed, providers operate at human speed, and patients pay the price in delayed care. • The post Prior Authorization Is Broken. • CMS’s New Rule Shows Why Regulated AI Is the Way Out appeared first on MedCity News . • Technology alone won’t solve prior authorization. • But refusing to adopt it guarantees the status quo: a system where insurers operate at machine speed, providers operate at human speed, and patients pay the price in delayed care.
Article Summaries:
- CMS’s latest rule introduces regulated artificial intelligence to overhaul the long‑standing prior‑authorization process. The policy acknowledges that technology alone cannot fix the system’s inefficiencies, but it argues that without AI adoption insurers will continue to operate at machine speed while providers lag, leading to patient delays and higher costs. By embedding AI into the authorization workflow, the rule seeks to harmonize insurer and provider speeds, streamline approvals, and reduce the burden on clinicians and patients. The move signals a shift toward regulated AI solutions as a practical remedy for the entrenched bottlenecks in healthcare authorization.
- CMS has introduced a new rule aimed at reforming the long‑stalled prior‑authorization process, underscoring the need for regulated artificial intelligence (AI) to bridge the gap between insurers and providers. The article argues that technology alone cannot resolve the inefficiencies of the current system, where insurers act at machine speed, clinicians at human speed, and patients suffer delayed care. By mandating AI oversight, CMS seeks to streamline approvals, reduce administrative burden, and improve patient access to necessary treatments. The rule marks a significant policy shift toward AI‑driven solutions in healthcare regulation.
Sources:
- https://medcitynews.com/2026/02/prior-authorization-is-broken-cmss-new-rule-shows-why-regulated-ai-is-the-way-out/ (Latest source article published: 2026-02-23 14:46 UTC)