Working Group Webinar Library
Webinar Library
Shaping the Future of Health Informatics: Exploring FACMI and FAMIA Opportunities
This webinar explores the pathways and requirements for FACMI and FAMIA, and their impact on professional development in health informatics. The webinar will also feature insights and testimonials from current fellows, offering first-hand perspectives on their experiences.

Bedside Implementation and Evaluation of AI Systems focused on Electronic Health Record Notes: Lessons from Applications in Natural Language Processing and Large Language Models
The deployment of text-based AI models at the point of care introduces new opportunities—and risks—for improving clinical documentation, communication, and decision support. In this talk, I will share lessons learned from the real-world bedside implementation of AI systems that use the EHR notes for screening opioid misuse to Ambient AI for automating clinical documentation, as well as methods for monitoring, evaluation, and continuous improvement.

Large Language Models in Medicine: from Benchmarks to Applications
Large language models (LLMs) have shown remarkable potential in the medical domain, with specialized medical LLMs developed and applied across a variety of tasks. However, their effectiveness in medicine remains uncertain, and practical guidance for their deployment in specific applications is still limited.

CRI Career Conversations: Featuring Santiago Romero-Brufau, MD, PhD
This month features Dr. Romero-Brufau, Director of AI for the Department of ENT at Mayo Clinic, where he is also Assistant Professor of ENT and Healthcare Systems Engineering. He will share AI and clinical informatics research information and career insights.

Enhancing Lab Result Comprehension with Large Language Models: The LabGenie Project
Accessing laboratory test results is the most common activity on patient portals, yet many patients—especially older adults with multiple chronic conditions—struggle to interpret their meaning. In this webinar, we will present a series of studies conducted as part of LabGenie.
