Robot-assisted surgery is commonplace in hospitals and healthcare systems across the country and allocating robotic block time to individual surgeons or specialty lines is 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.  

Join Ochsner Health’s Interim Chair Department of Colon & Rectal Surgery to learn how leveraging AI-driven technology transformed surgeon engagement with operational data and improved overall block and robot utilization with impressive results:

• 10% increase in robotic utilization 
• 4% increase in block utilization 
• 8% increase in prime time utilization

Learning Objectives:

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