Prior authorization automation
Outcomes
Combat rising prior auth costs, reduce administrative burden,
and prioritize patient outcomes
PRIORAUTH.AI uses deep learning to automate clinical procedure identification from unstructured medical records. The algorithm then matches the identified procedure to the prior auth list of the respective payor to garner proper approvals automatically. Payors can also leverage PRIORAUTH.AI to automate approval or denial of incoming prior authorization requests in real-time.
Combat rising costs
Prior authorization is the costliest administrative transaction for providers, with providers spending nearly $11 on each prior authorization done manually in 2019 (according to the Council for Affordable Healthcare). PRIORAUTH.AI significantly reduces the cost of prior authorization identification and submission by automating the entire process, end-to-end.
Reduce administrative burden
With an average of 31 weekly prior authorization requests per physician, more than a third of providers employ staff members who work exclusively on prior authorization (per the AMA). PRIORAUTH.AI enables providers to significantly reduce administrative strain on their staff. Imagine freeing up hundreds, if not thousands of additional man-hours by automating prior authorization identification and submission.
Prioritize patient outcomes
More than 9 in 10 physicians say that prior authorization delays have a negative impact on patient clinical outcomes (per the AMA). PRIORAUTH.AI leverages automation to reduce prior authorization delays and enable providers to focus on what truly matters: caring for patients.
Learn more about PRIORAUTH.AI
Schedule a demo today to see prior authorization automation in action.
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