Intelligent Operations in Action: Optimizing Patient Flow to Unlock Patient Access and Streamline the ED

Inpatient operations are complex, requiring hospitals to balance patient needs, clinical resources, and capacity constraints in real time. LeanTaaS Founder and CEO Mohan Giridharadas will open the session with a high-level look at how health systems are transforming operations by combining AI, predictive analytics, and real-time data into a new model of intelligent hospital management. He will outline how this approach enables leaders to anticipate demand, align resources, and unlock capacity across the enterprise.

Then, Jason Harber, Vice President of Client Services for iQueue for Inpatient Flow, will take a deeper dive into one of the most visible pressure points: emergency department (ED) boarding. He’ll show how leading health systems are reducing ED congestion by managing patient flow as an interconnected system—spanning admission planning, discharge readiness, staffing, and care progression—rather than treating issues in isolation.

Jason will also highlight how a platform that unifies data, applies intelligence to forecast patient trajectories, and empowers care teams to act in the moment gives hospitals the agility to prevent bottlenecks, ease staff burden, and keep the ED open to those who need it most.

Key Takeaways:

• Understand how to streamline discharges by surfacing real-time bottlenecks and guiding teams to act decisively.
• Learn how to predict patient trajectories from admission to discharge to enable earlier coordination and reduce avoidable delays.
• Explore methods to align staffing dynamically with shifting demand using forecast-informed planning.
• Discover strategies to proactively reroute patients to alternative care pathways before inpatient beds are consumed.
• Gain insight into how ED leaders can leverage timely data to anticipate arrival surges, streamline diagnostics, and manage patient transitions more effectively.