The client was a mid-sized regional health system operating multiple hospitals and outpatient facilities, processing approximately 2.8 million claims annually. Revenue cycle operations were fragmented across seven different EHR systems, resulting in inconsistent workflows, delayed reimbursements, and limited visibility into payer performance. Financial leadership faced mounting pressure to stabilize cash flow while controlling administrative costs.
To address systemic inefficiencies and improve financial performance, the health system partnered with Zymr to design and implement an integrated, AI-enabled revenue cycle management (RCM) platform.
The organization struggled with a 52-day Days Sales Outstanding (DSO) and a denial rate approaching 28%, driven by inconsistent eligibility checks, manual claim reviews, and delayed payer responses. Billing teams operated in silos across EHRs, making root-cause analysis difficult and slowing corrective action. Leadership lacked real-time insight into denial trends, payer behavior, and operational bottlenecks. Any solution needed to unify workflows across systems, improve first-pass acceptance, and scale without increasing headcount.
Zymr helped the hospital network transform revenue cycle operations from a fragmented, reactive process into a data-driven financial engine. The AI-powered RCM platform improved cash flow, reduced denials, and delivered measurable financial recovery without disrupting existing EHR investments.
Zymr designed and delivered a centralized RCM platform that unified billing operations and embedded intelligence across the claims lifecycle.
Scalable, Secure Architecture
Supported millions of annual claims with enterprise-grade security and auditability.