Is this an actual customer result?

Hospital · Multi-Specialty

Hospital Cash-Flow Workflow Optimization with AI

Illustrative Revenue Cycle Automation Scenario. This scenario demonstrates how a healthcare organization could apply revenue-cycle automation. It is not presented as an actual customer result.

The Challenge

A mid-size hospital had AR days exceeding 55, with significant revenue tied up in aging claims. The revenue cycle was managed by a large team using legacy systems. Cash flow was unpredictable, and financial forecasting was difficult. The hospital needed to reduce AR days and improve cash flow visibility without adding headcount.

The Approach

Sarva integrated with the hospital's billing system, adding an AI automation layer without replacing the existing system.

AR follow-up was prioritized by recovery probability and yield, replacing chronological worklists.

Predictive denial prevention was deployed to reduce the volume of denials at the source.

Real-time revenue cycle analytics dashboards were created for CFO and RCM leadership.

Illustrative Outcomes

AR days

Illustrative reduction from 55+ to under 30

Cash flow predictability

Illustrative improvement with real-time dashboards

RCM team efficiency

Illustrative 40% improvement in throughput without headcount increase

Outcomes are illustrative and do not represent actual customer results.

Key Lessons

AI automation layers on top of legacy systems — replacement is not always necessary.
Priority-based AR follow-up dramatically outperforms chronological worklists.
Real-time analytics replace delayed monthly reports, enabling proactive financial management.

See how this approach could work for your organization.

Book an RCM Automation Demo