Case Study: a mid-sized regional health plan recovers $24M with Zymr’s AI-driven revenue cycle automation

a mid-sized regional health plan recovers $24M with Zymr

The customer, a mid-sized regional health plan, faced significant challenges with claim leakage and operational inefficiencies due to heavy reliance on manual review processes and fragmented analytics systems. To modernize operations and improve financial performance, the health plan partnered with vendor Zymr to implement an AI-driven revenue cycle automation platform.

Zymr designed and implemented an intelligent revenue cycle automation solution featuring AI-powered claims prediction models and automated workflows. The results were substantial, including the recovery of $24 million in revenue, the processing of 4.1 million claims, and a 91% prediction accuracy for claims risk identification. Zymr's solution also achieved a 35% reduction in manual review effort and accelerated claims processing cycles by 28%.