
PRIORAUTH.AI automates the prior authorization process for healthcare providers and payors using deep learning, reducing costs, administrative burden, and improving patient outcomes.
Vendor
BUDDI AI
Company Website
PRIORAUTH.AI leverages deep learning to automate the identification of clinical procedures from unstructured medical records. The algorithm then matches these identified procedures against the prior authorization lists of respective payors to automatically secure proper approvals. Payors can also utilize PRIORAUTH.AI to automate the real-time approval or denial of incoming prior authorization requests. This solution directly addresses the significant financial and administrative challenges associated with manual prior authorization processes. It helps combat rising costs, as prior authorization is often the costliest administrative transaction for providers. By automating the entire end-to-end process, PRIORAUTH.AI significantly reduces the expenses related to prior authorization identification and submission. Furthermore, it alleviates the substantial administrative burden on healthcare staff, who often dedicate considerable time to managing weekly prior authorization requests. By streamlining these tasks, PRIORAUTH.AI frees up valuable man-hours. Crucially, the system aims to prioritize patient outcomes by reducing delays often caused by manual prior authorization, allowing providers to focus more on patient care.
Features & Benefits
- Combat Rising Costs
- Prior authorization is a costly administrative transaction for providers, with manual processes incurring significant expenses. PRIORAUTH.AI automates the entire end-to-end process, drastically reducing the cost of prior authorization identification and submission.
- Reduce Administrative Burden
- With an average of 31 weekly prior authorization requests per physician, many providers employ staff exclusively for this task. PRIORAUTH.AI automates identification and submission, significantly reducing administrative strain and freeing up valuable staff hours.
- Prioritize Patient Outcomes
- Prior authorization delays negatively impact patient clinical outcomes, as reported by over 90% of physicians. PRIORAUTH.AI leverages automation to minimize these delays, enabling providers to focus on delivering timely patient care.