https://store-images.s-microsoft.com/image/apps.44402.1a184d7a-39ef-49d1-b55f-528b280686a7.52c76d1b-3fba-4481-9b3d-01ff4be2653f.68ff4a08-2233-46ac-a12e-a57bfd89c9d2
CitiusTech GenAI Payer Prior Auth
CitiusTech
CitiusTech GenAI Payer Prior Auth
CitiusTech
CitiusTech GenAI Payer Prior Auth
CitiusTech
Help Health plans reduce the administrative overhead required to approve requests from providers
Since Prior Authorization is a critical cost control mechanism for Health Plans, their team of clinical reviewers need to thoroughly review documents containing members clinical history to evaluate the medical necessity of the procedure or medication prescribed as per federal, state or health plan determination guidelines. The requests are manually reviewed making the process time consuming, inefficient and adding more administrative cost & burden.
CitiusTech's GenAI Payer Prior Auth solution can help shorten the TAT required to review and approve requests by generating a summarized and relevant synopsis of the members clinical history.
Payer Value Proposition
- Reduced Administrative Overhead: Extract and summarize relevant clinical information from the case attachments, in accordance to applicable coverage determinators or health plan coverage guidelines. This can help reduce the manual effort required to review documentation to evaluate medical neccessity.
- Faster Information Retrieval: Clinical reviewers can get additional answers to specific questions about members through a simple chat-based interface thereby reducing the amount of time needed to process.
Member Value Proposition
- Reduced TAT: Reduced time required for processing prior auth requests can help improve member experience and build a stronger NPS
Learn more
GenAI Prior Auth One Pagerhttps://store-images.s-microsoft.com/image/apps.49695.1a184d7a-39ef-49d1-b55f-528b280686a7.52c76d1b-3fba-4481-9b3d-01ff4be2653f.949c0256-5d11-4618-bd67-7d11b263a05f
https://store-images.s-microsoft.com/image/apps.49695.1a184d7a-39ef-49d1-b55f-528b280686a7.52c76d1b-3fba-4481-9b3d-01ff4be2653f.949c0256-5d11-4618-bd67-7d11b263a05f