SOUTH SAN FRANCISCO, Calif., March 14, 2024 /PRNewswire/ -- AKASA, the preeminent provider of generative AI (GenAI) solutions for the revenue cycle, today launched the first in a suite of AI assistants focused on optimizing revenue cycle management for healthcare providers. Authorization AdvisorTM is a new GenAI tool that helps prior authorization specialists efficiently and comprehensively complete authorization submissions. In addition, it supports any payer portal or service line and most electronic health record (EHR) systems. With Authorization Advisor, revenue cycle teams can now reduce the time spent on prior authorization by up to 50% and submit more thorough authorizations by finding 15% more relevant clinical documents
With Authorization Advisor, revenue cycle teams can now reduce the time spent on prior authorization by up to 50% and submit more thorough authorizations by finding 15% more relevant clinical documents
AKASA's unique approach is to develop a health system–specific AI model by training on that organization's own clinical and financial data. The company's solutions, including Authorization Advisor, are powered by these tailored models and are able to deeply understand a health system's specific nuances. AKASA's models are already outperforming the top generic versions (like GPT-4 from OpenAI) — for example, they are 38% more accurate when it comes to correctly selecting prior authorization documents
AKASA's models are already outperforming the top generic versions (like GPT-4 from OpenAI) — for example, they are 38% more accurate when it comes to correctly selecting prior authorization documents
AKASA's unique approach is to develop a health system–specific AI model by training on that organization's own clinical and financial data. The company's solutions, including Authorization Advisor, are powered by these tailored models and are able to deeply understand a health system's specific nuances. AKASA's models are already outperforming the top generic versions (like GPT-4 from OpenAI) — for example, they are 38% more accurate when it comes to correctly selecting prior authorization documents
AKASA's models are already outperforming the top generic versions (like GPT-4 from OpenAI) — for example, they are 38% more accurate when it comes to correctly selecting prior authorization documents
"Health systems are burdened with enormous administrative complexity that can now be addressed by generative AI..."
Prior authorization is the second most time-consuming part of the revenue cycle. Authorization Advisor is infusing GenAI capabilities to address this burden. It provides prior authorization specialists — from entry-level to veteran — with an interactive sidebar view of patient details and curated clinical documentation from the EHR, all directly in their workflow while they are on a payer portal.

Source prnewswire