Short snapper – improving access to care through real-time clinic capacity matching
Patients often struggle to find timely care while clinics manage cancellations, uneven demand and unused appointment capacity. This session examines how a real-time coordination platform can help connect patients with available appointments across community-based care without disrupting existing EMR workflows. Attendees will explore how structured digital intake, intelligent patient-provider matching and operational insights can improve access to care, make better use of existing clinic capacity and support more efficient practice operations.
Learning objectives
By the end of this session, participants will be able to:
- Understand how real-time capacity visibility can improve patient access while supporting clinic flow and utilization.
- Explore practical applications of AI within patient intake, provider matching, and no-show mitigation — in a PHIPA- and OHIP-compliant environment.
- Identify how coordination-layer tools can integrate with existing EMR workflows to enhance efficiency without disrupting clinical care.
Speaker:
- James Hong, PhD, Neuroscience/Bioinformatics, CEO, Verismo Health Inc
Presenter Bios:

James Hong, PhD
Dr. James Hong is a Taiwanese-Canadian scientist and entrepreneur based in Toronto, holding a PhD in Neuroscience/Bioinformatics from the University of Toronto, where his doctoral research focused on the molecular pathophysiology of spinal cord injury. He currently serves as a Scientific Associate at University Health Network and Lecturer in the Department of Human Biology at the University of Toronto. Dr. Hong is the CEO of Crewlogic AI, DocNow AI, Verismo AI, and Verismo Health Inc. Verismo Health Inc. is a healthcare management and innovation company operating over 70 medical clinics across Ontario, with a focus on operational excellence, AI-driven automation, and patient-centered care, having recruited over 200 physicians and generating over $200 million in annual revenue. His work bridges neuroscience research, machine learning, and healthcare entrepreneurship, applying artificial intelligence to modernize primary care delivery in Canada.
