Restoring elective surgery caseload is one of OR leadership’s top post-pandemic priorities, and effectively addressing the backlog requires careful planning and execution.

Based on discussions with iQueue customers and other OR perioperative leaders across the country, LeanTaaS has developed a set of tools and step-by-step approaches to identify the backlog, manage block versus open time, open more capacity to add on cases, and accommodate the pent-up volume given each hospital’s available resources - rooms, staffing, locations and more.

In this recorded webinar on demand, learn:

  • Tools to estimate surgery backlog and how long it will take an institution to fully address it
  • Tools to create more open time in ORs, ASCs, and procedure rooms/endoscopy suites; give clinics easy access
  • Recommended action plans over the next few weeks and months

Join LeanTaaS Senior Director of Client Services Ashley Walsh and Director of Product Management Zetong Li for “Restoring Your Elective Surgery Caseload Post COVID-19”. In this session, Ashley and Zetong discuss and demonstrate:

Links to the materials discussed in the webinar and an executive summary are also available after registering at right.

Speaker Bios:

Ashley Walsh, MHA, Senior Director of Client Services
As Senior Director of Client Services, Ashley leads collaborative efforts with more than 30 healthcare organizations to develop high-ROI predictive analytics solutions that improve patient access, patient/staff satisfaction, optimize resource utilization, and reduce service delivery costs. Prior to joining LeanTaaS, Ashley was a former perioperative business manager at UCHealth’s Metro Denver campus. She obtained her bachelor’s degree in Health Science from Truman State University and her master’s in Health Administration from Maryville State University.

Zetong Li, Director of Product Management
As Director of Product Management for iQueue for Operating Rooms, Zetong works with leading healthcare organizations on analyzing and improving operating room efficiency with predictive analytics and machine learning; and has filed several related patents. Zetong has an extensive background in data science, decision analysis, machine learning, and recommendation systems. He holds an MS in Engineering Management from Stanford University and a BS in Logistics Engineering from Tianjin University in China.

Presented By:

Ashley Walsh, MHA

Senior Director of Client Services



Zetong Li

Director of Product Management