Large-Language Models in the Clinical Laboratory

Learning Objectives

• Explain core LLM concepts (models, embeddings, RAG, prompt engineering, governance).
• Generate lab-specific documents (policies, validation plans, letters, e-mail, CV extracts) with an audit trail suitable for CLIA/CAP inspection.
• Build a procedure-manual lookup chatbot using Retrieval-Augmented Generation.
• Integrate & automate LLM workflows with LIS/LIMS, scheduling, and EHR messaging.
• Evaluate outputs for accuracy, bias, confidentiality, and regulatory compliance.
• Leave with actionable templates, code snippets, and a personal “starter RAG” repo.

Why Attend?

A practical, step-by-step, regulator-ready immersion that equips laboratorians to use LLMs in real-world settings—not simply admire them. The dual instructor format makes the content credible, balanced, and actionable, fully aligning with ASCP’s mission to translate innovation into frontline laboratory quality.