Case Study: MediRevv improves claims processing efficiency with AKASA AI automation

How AKASA used AI to clear a claim status backlog, improve efficiencies for a revenue cycle vendor, and drive revenue for a hospital

AKASA helped MediRevv, a revenue cycle management vendor serving Katherine Shaw Bethea Hospital (KSB), address a challenge with a mounting backlog of claim statuses. MediRevv needed to improve their internal efficiencies and workflow speed to maximize the quality of their output for the community hospital, which had limited resources.

The solution implemented by AKASA was their Unified Automation® platform. This AI-driven system automated the claims status process for KSB's top payers, working within multiple systems. As a result, AKASA automated 72 hours of work per month, cleared over 1,200 claims monthly, and processed 15,000 total accounts in a year. This allowed MediRevv to focus on more complex tasks and helped prevent KSB's accounts from aging out.

MediRevv

Melissa Huston

Director of Solutions Support