Infusion centers sit at the crossroads of rising demand, workforce constraints, and increasing treatment complexity. Yet many organizations still manage infusion using static schedules, chair-based planning, and disconnected workflows that limit access, strain staff, and cap growth—often without clear visibility into where capacity is truly lost.

LeanTaaS Founder and CEO Mohan Giridharadas will open the session with a high-level look at why infusion is fundamentally a service line capacity optimization problem. Drawing on systemwide trends and operational principles, Mohan will outline how leading health systems are shifting from reactive scheduling and staffing to intelligent operations—using predictive analytics, real-time data, and optimization to align demand, workforce, and resources across the infusion ecosystem.

Building on this foundation, Obehi Ukpebor, Senior Director of Infusion Product Management, will translate these concepts into practical, infusion-specific execution. He will walk through how high-performing centers are unlocking hidden capacity without adding chairs or staff by addressing four critical levers: long-term capacity planning, demand-aligned staffing, pharmacy workflow optimization, and faster operational decision-making. Using real-world examples, Obehi will show how smoothing flow across the day reduces bottlenecks, improves nurse sustainability, and enables centers to grow access while maintaining quality and patient experience.
 

Key Takeaways

• Why infusion capacity is a systemwide optimization challenge—and how predictive planning reveals hidden capacity without adding chairs or staff
• How aligning staffing, scheduling, and pharmacy workflows smooths daily flow, reduces bottlenecks, and improves nurse sustainability
• What it takes to move from reactive operations to repeatable, data-driven execution that supports access, growth, and patient experience