Smarter Messaging: Using AI-Driven SMS to Boost Patient Engagement and Streamline Diagnostics
Discover how AI and large language models (LLMs) are transforming patient communication and clinic efficiency in community-based diagnostic settings. This session will explore the use of secure, AI-powered SMS tools to deliver personalized, timely messaging that enhances patient preparedness and follow-through. Attendees will learn how to streamline administrative workflows, improve patient experience, and evaluate the clinical and operational outcomes of integrating LLM-enabled engagement tools. Gain practical insights into adopting these technologies to reduce delays, increase throughput, and support a more responsive outpatient care model.
Presented by:
- Luis Leano, Senior Business Intelligence Analyst
- Roger Han, MD, Chief Transformation Officer, KMH Cardiology Centres Inc.
Presenter Bios:
Luis Leano
Luis J. Leano is an experienced Business Intelligence and Data Analyst with a strong background in transforming data into actionable insights that drive informed decisions. He specializes in leveraging data analytics to support strategic initiatives and improve business outcomes. His expertise includes data visualization, statistical analysis, and the development of data-driven solutions to complex business challenges.
Roger Han, MD
Roger Han has over a decade of experience working in healthcare and is currently the Chief Transformation Officer at KMH Cardiology Centres Inc., leading data-driven transformation, EMR implementations, and automation across a network of diagnostic and cardiology clinics in Ontario. Previously a product management leader at Medcan, he blends a finance and accounting background from Western University with deep analytics expertise to streamline clinical workflows and improve patient access to care. Beyond KMH, Roger serves as a Community Ambassador for ThePower Business School and contributes to regional digital-health strategy with the Connected Care Halton Ontario Health Team.
Date
- Sep 18 2025
- Expired!
Time
- 3:10 pm - 3:55 pm
