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Webinar Library

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.