From Concepts to Practice: A Foundational Tutorial on Large Language Models in Healthcare

Presentation Type: Workshop - Instructional
Not recorded for AMIA Now

Presentation Time: 10:30 AM - 12:30 PM

Primary Track: Data Science/Artificial Intelligence


This instructional workshop offers a comprehensive introduction to Large Language Models (LLMs) within the healthcare informatics domain. Designed for professionals with limited prior experience in AI development, this session focuses on the fundamental mechanisms, development life-cycle, and ethical deployment of LLMs. Participants will gain a solid understanding of LLM architecture (Transformer models, GPT, BERT), data preparation strategies, and the critical importance of bias mitigation in clinical settings. The workshop utilizes a mix of didactic lectures and interactive exercises, including a unique hands-on activity visualizing LLM token generation using accessible tools. Key learning outcomes include understanding prompt engineering, identifying ethical risks, and formulating strategies for implementing LLM solutions in research and administrative workflows. This tutorial aims to bridge the gap between theoretical knowledge and practical application, equipping attendees to become informed stakeholders in the AI-driven transformation of healthcare.

Speaker(s):
Jeremy Harper, MS
Owl Health

Author(s):
Jeremy Harper, MS - Owl Health;

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