Impact of an AI-Powered Platform on Prior Authorization Workflow for Advanced Imaging
12/18/2024 • JAMA Network Open • License: CC BY
Chen, W.
Abstract
Prior authorizations are a major source of administrative burden and care delays. This quality improvement study at a large integrated health network found that an AI-powered platform automated 85% of the end-to-end prior authorization process for radiology procedures. This reduced the average authorization turnaround time from 4.2 days to just 55 minutes, while also decreasing staff processing time per request by 70%.
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Clinical implications
An AI system designed to handle insurance pre-approvals for imaging scans like MRIs and CTs was able to automate 85% of the work. This cut the approval time from several days down to less than an hour, allowing patients to get necessary scans faster and reducing administrative work for staff.
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