e-Health 2025 Conference and Tradeshow

Toronto, ON

The 2025 e-Health Conference provides an exciting opportunity to hear from your peers and engage with MEDITECH.

We’re excited to attend the 2025 e-Health Conference and Tradeshow and encourage you to stop by MEDITECH’s booth #50 to chat with our team and discover how you can leverage Expanse to drive patient-centered care. Here’s who you’ll find in our booth:

  • Robert Molloy, Director, Canadian Market and Product Strategy
  • Rebecca Lancaster, Director, Product Management
  • Patricia Pacewicz, Director, Client Services
  • Allie Anderson, Senior Regulatory Program Manager, Canada
  • Dr. Marsha Fearing, Physician Consultant for Canada
  • Mitra Mobasseri, Regional Manager
  • Zach Ernstoff, Account Executive.

We’ll also host a symposia session, AI Applications in Healthcare: Enhancing Efficiency, Improving Care, and Empowering Clinicians, on Monday, June 2, from 12:30 p.m. - 1:30 p.m., where we’ll explore how AI has the potential to revolutionize healthcare by alleviating administrative burdens and empowering staff to focus on patient-centered care.

MEDITECH Director of Canadian Market and Product Strategy Robert Molloy, and Director of Product Management Rebecca Lancaster will present how integrating AI into healthcare workflows can foster a more efficient and patient-centric system. Realizing this potential requires a commitment to responsible and iterative development, incorporation of end-user feedback, and effective integration into workflows.

This presentation will outline key factors to consider when implementing AI in healthcare safely and transparently. The impact of AI deployment will be illustrated by focusing on a selection of use cases, including:

  • Ambient listening to generate encounter notes, queue orders, and enable additional efficiencies in clinician workflow, across multiple care settings and for an evolving set of use cases.
  • Leveraging LLMs for the auto-generation of clinical documentation for key transitions of care to reduce cognitive burden and improve patient care.
  • Intelligent search and condition summarization across the EHR data set to reduce visit prep time, pinpoint key information quickly, and obtain a longitudinal view of the patient.
  • Predictive scheduling.
     

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