Ochsner Health is a non-profit, academic, multi-specialty healthcare system based in New Orleans. Their 767-bed flagship hospital houses centers of excellence in cancer, transplant, and cardiovascular care and holds Magnet recognition.

Like many other health systems, Ochsner Health faced challenges optimizing use of the interconnected resources in the OR, including block time and robot-assisted surgery equipment. Robot-assisted surgery in particular is now commonplace in hospitals and healthcare systems across the country, and Ochsner Health discovered that allocating robotic block time to individual surgeons or specialty lines was simply not enough to ensure optimal use of equipment. Challenges arise when stakeholders lack visibility into actual robotic use and have limited access to accurate and reliable data. Ochsner Health adopted LeanTaaS’ AI-powered iQueue for Operating Rooms solution to provide stakeholders across the OR with a “single source of truth” for this vital information, and empower them to drive greater efficiency. 

Ochsner Health’s Interim Chair Department of Colon & Rectal Surgery explains how leveraging this AI-driven technology transformed surgeon engagement with operational data, helping the OR align scheduling policies with actual operational practices, and improved overall block and robot utilization with impressive results. 

Viewers of this webinar will be able to: 

• Understand the challenges associated with lack of visible and credible data into robotic equipment and block utilization
• Explain the steps to transforming an organization’s block and robotic resources allocation process and best practices
• Describe how to utilize predictive and prescriptive analytics to drive surgeon and stakeholder engagement into operational data