The Formula for Operational Excellence: How LeanTaaS Optimizes Inpatient Capacity, Throughput, and Staffing

Speakers

jason
Jason Harber
Vice President, Client Services, iQueue for Inpatient Flow LeanTaaS
A man with short gray hair, wearing a dark blue suit jacket and a white dress shirt, smiles at the camera in front of a plain white background, projecting confidence often seen in leaders focused on improving healthcare profit margins.
Mohan Giridharadas
Founder and Chief Executive Officer, LeanTaaS

Summary

The challenges facing healthcare operations today—rising demand, staff shortages, poor asset utilization, and shrinking reimbursements—demand a transformative approach. Dashboards and traditional tools are no longer enough to address the complexity of inpatient capacity, throughput, and staffing challenges. Instead, healthcare systems must adopt innovative solutions that combine predictive insights, advanced AI, and process redesign.

In this webinar, learn how LeanTaaS leverages continuous mathematical debottlenecking, predictive analytics, and connected workflows to transform inpatient operations. Discover how these tools unlock capacity, reduce cycle times, and optimize staffing. See how accelerating discharges and balancing patient flow across interconnected hospital units can drastically improve patient outcomes and financial performance.

With a proven track record of success across 1,200 hospitals and 190 health systems, LeanTaaS delivers results like a 10% reduction in excess days, a 25% decrease in transfer declines, and a 5% increase in daily discharges. Attendees will gain actionable insights into managing capacity effectively, leveraging technology to predict and resolve bottlenecks, and driving sustainable improvements through change management.

Learning Objectives:

  • Understand how predictive analytics and AI can transform inpatient capacity and throughput, leading to measurable operational improvements.
  • Explore the role of continuous mathematical debottlenecking in accelerating discharges and optimizing patient flow.
  • Learn from case studies of health systems achieving significant reductions in delays, excess days, and staffing inefficiencies.

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