AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. Our offerings are built on the AKASA platform, which integrates the company's proprietary generative AI technology and deep revenue cycle expertise to deliver exceptional impact for hospitals, health systems, and the patients they serve. 

• Authorization - Enhance prior authorization by empowering your patient access team with a GenAI assistant that helps them complete a higher volume per day with less effort.
• Medical Coding - Achieve unprecedented coding comprehensiveness, transparency, accuracy, and efficiency with GenAI-powered coding recommendations trained on your data.
• Claim Attachment - Simplify solicited doc submission to payers with automation powered by GenAI — helping resolve them more efficiently, reduce payment delays, and lower denials.
• Claim Status - Obtain up-to-date status info for submitted claims automatically, alleviating the burden on staff, speeding up claim resolution, and preventing reimbursement delays.

AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. Our offerings are built on the AKASA platform, which integrates the company’s proprietary generative AI technology and deep revenue cycle expertise to deliver exceptional impact for hospitals, health systems, and the patients they serve. Our platform is used by more than 475 hospitals and 8,000 outpatient facilities. AKASA helps healthcare organizations improve revenue outcomes, achieve greater efficiency, empower staff, and allocate resources where they matter most.

See below. 

Our solutions are powered by the latest generative artificial intelligence (GenAI) technology. Our healthcare-specific GenAI model is fine-tuned for revenue cycle management tasks. We trained our GenAI on a large data set (43M+ clinical documents). AKASA is the only AI company whose technology is trained on a health system's own clinical data, enabling AI to better understand the specific nuances of a health system.

GenAI can rapidly and accurately understand complex clinical documents (such as patient records), comprehend clinical context, extract information, and use the data in meaningful ways, such as in prior authorization and medical coding.