Joey Graham

Denials remain one of the most persistent threats to cash flow, efficiency and reimbursement performance for HME providers. While strong processes, payer knowledge and disciplined follow-up are still essential, AI is changing how organizations prioritize and recover denied revenue. This session will explore how AI can help providers move from reactive denial management to more proactive revenue recovery, including practical examples of AI-driven denial prioritization. Attendees will learn how smarter work allocation can reduce wasted effort, improve staff efficiency, accelerate collections and increase revenue capture while keeping human expertise and operational guardrails at the center of the process.

Today’s DME providers face growing pressure to improve efficiency, accelerate cash flow, reduce administrative workload, and adapt to rapidly evolving technology. However, even the most advanced billing, automation, and AI tools cannot deliver their full value without strong, well-defined policies and procedures.

In this dynamic, expert-led panel discussion, industry leaders will examine the foundational workflows that drive billing and collection performance—from intake and documentation through payment posting and final collections. Panelists will highlight common challenges across the home medical equipment industry and share practical insights for aligning internal processes with today’s most effective technology solutions.

Attendees will learn how consistent workflows support successful technology implementation, reduce manual effort, strengthen accountability, and improve financial performance. The panel will break down each stage of the revenue cycle and provide actionable strategies for using process and technology together to drive greater efficiency, cash recovery, and profitability.