Scaling AI-Enabled Remote Specialty Care: From Innovation to Operational Performance

As health systems face mounting pressure around specialist capacity, workforce constraints, and fragmented care delivery, many are rethinking how specialty expertise reaches patients across distributed, underserved, and capacity-constrained settings.  

What is becoming clearer, however, is that the conversation is no longer just about expanding access. The more strategic question is where AI-enabled remote specialty care is actually creating meaningful clinical and operational value, and what it takes to integrate these models into care delivery in ways that hold up for clinicians, patients, and health systems.  

In this webinar discussion, provider leaders explored where remote specialty care is proving most effective, what distinguishes scalable models from isolated pilots, and how organizations are embedding remote exams, AI-supported workflows, and new care pathways into high-impact specialties without creating new friction.  

Panelists shared practical strategies for:  

• Integrating AI-enabled remote specialty care into existing clinical workflows and service lines 
• Supporting clinicians with remote exam capabilities and AI-assisted workflows 
• Extending specialty expertise across distributed care settings 
• Improving continuity of care while reducing operational friction 
• Building scalable care models that create value for both patients and health systems 

Featuring:

• Kristin Myers, MPH, Executive Vice President and Chief Digital Officer, Northwell 
• Rebecca Canino, MBA, Executive Director, Office of Telemedicine, Johns Hopkins Medicine 
• Sharda Udassi, MD, Associate Chief Quality Officer (ACQO), WVU Medicine (Health System)
• Greg Orr, Chief Operating Officer, TytoCare