Building the AI layer for modern healthcare together

Sponsored Session

Room: 206 AB

AI scribes started by solving one problem: documentation. But the bigger opportunity is to move beyond the note entirely.

This session explores QuickChart’s journey in building a new model for clinical technology: the EMR as the system of record, with AI becoming the system of work.

Using real-world examples, we’ll show how ambient scribing can evolve into an end-to-end AI layer spanning pre-visit intake, chart preparation, telehealth, documentation, form completion, follow-up, and other clinical workflows.

Learning objectives

By the end of this session, participants will be able to:

Evaluate a future model where the EMR remains the system of record while AI becomes the primary layer through which clinicians work.

Recognize how AI scribes can evolve into end-to-end clinical workflow platforms.

Identify opportunities for AI-native intake, telehealth, forms, follow-up, and documentation to reduce EMR burden.

Speaker:

• Joel Moktar, MD, Orthopaedic Surgeon, Associate Professor, NOSM University, Co-Founder, QuickChart Inc.
• Paval Antiperovitch, MD, Cardiologist, Associate Professor, Western University, Co-Founder, QuickChart Inc.

Presenter Bio:

Joel Moktar, MD

Joel Moktar, MD, MEng, FRCSC, is an orthopaedic surgeon, Associate Professor at NOSM University, and Pavel Antiperovitch, MD, FRCP is a cardiologist and Associate professor at Western University, and together are co-founders of QuickChart, a Canadian clinical AI company building the AI layer for modern healthcare.

Paval Antiperovitch, MD

Dr. Pavel Antiperovitch is a cardiologist, Associate Professor at Western University, and co-founder of QuickChart, where he serves as Chief Operating Officer and lead developer. His work spans clinical practice, AI research, and software development, with a focus on building tools that simplify documentation, improve clinical workflows, and help physicians spend more time focused on patients.

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