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, Chief Product Officer, focuses on one of the most visible pressure points in hospital operations: ED boarding. Drawing on real operational examples, Jason shows why ED congestion cannot be solved by the ED alone and how relief depends on managing patient flow as a connected, enterprise-wide system.

He will walk through how leading health systems use prediction to see pressure earlier, align teams ahead of bottlenecks, and turn daily huddles from status updates into coordinated action. You will see how inpatient units, staffing leaders, diagnostics, and discharge teams can work from the same signals to decompress faster and keep patients moving.

Key Takeaways:

• How to anticipate ED pressure earlier using predictive signals
• How to make daily huddles more action-oriented and less reactive
• How shared forecasts improve coordination across inpatient, ED, and staffing teams
• How to identify and relieve bottlenecks beyond the ED, including diagnostics and discharge
• What it takes to make operational improvements repeatable and sustainable