Date/time: Tuesday, June 9th | 11:00 AM - 12:00 PM
Location: Ballroom B
Speaker: Josh Lau, CEO @ Nymbl

[PANEL] From Policy to Profit: How Sound Procedures Unlock the Full Potential of Billing Technology

Unlock the full power of today's billing and collection technologies by starting with what matters most: strong, well-defined policies and procedures for ALL DME providers, with a focus on the unique challenges for Complex Rehab. Participants will explore how foundational workflows—from Intake through final collections—are critical to successfully implementing automation and AI tools, and how clear processes improve operational consistency and drive efficiency, cash flow, and profitability.

Learning objectives:

Explain the foundational role of policies and procedures in supporting effective billing and collections performance.

Identify key workflow components from Intake through final collections that impact consistency and cash flow.

Explore how automation and AI tools can be integrated throughout the billing process to enhance efficiency and reduce manual effort.

Recognize the risks of implementing technology without established procedures.

Gain actionable strategies for aligning internal processes with modern technology to optimize billing operations and improve financial performance.

Date/time: Tuesday, June 9th | 2:45 PM - 3:45 PM
Location: Room 1 & 2
Speaker: Josh Black, Solutions Engineer @ Nymbl

More Than Billing: A Strategic Playbook for Revenue Optimization in CRT

Revenue optimization in Complex Rehab Technology requires far more than strong billing practices. Because CRT workflows rely on extensive documentation, multi-step justification, complex payer requirements, and long authorization cycles, revenue leakage can occur at any point in the patient journey. This session provides a system-wide approach to strengthening financial performance—from intake through documentation, coding, denials, and real-time reporting. Attendees will learn how leading CRT organizations are using workflow automation and AI-supported documentation to reduce delays, prevent denials, and improve margins without adding administrative burden.

Learning objectives:

Identify critical points of revenue leakage within the CRT revenue lifecycle and understand how process gaps drive denials and delays.

Evaluate how documentation quality, coding accuracy, and workflow oversight impact financial performance, and how AI-supported notes and real-time dashboards can strengthen outcomes.

Apply revenue optimization strategies used by successful CRT providers to reduce cycle time, improve clean claim rates, and increase reimbursement without additional staffing.