Claude Code for Clinicians: AI in Medical Education (Obesity Medicine Demo)
In this tutorial, I walk through how I used Claude Code, Anthropic's AI coding agent, to build a 1-hour workshop on Obesity Medicine, including two clinical cases, a PowerPoint presentation, facilitator guides, and reference materials.
What I have covered:
• How to create a SKILL.md file to give Claude specialized medical education expertise
• Using AI agents to autonomously build clinical case content
• Case 1: Whole Food Plant-Based (WFPB) nutrition counseling + food label literacy (quick oats vs. steel-cut oats)
• Case 2: FDA-approved anti-obesity medications & GLP-1 receptor agonists (semaglutide, tirzepatide)
• Generating a polished PowerPoint directly from AI-written content
Built for physicians, medical educators, and healthcare professionals who want to use AI to create better, faster, evidence-based educational content.
Workshop covers:
→ The 5As Framework for obesity counseling
→ WFPB diet evidence (Ornish, BROAD Study, Barnard, PCRM)
→ Nutrition label literacy & hidden sweeteners
→ Semaglutide vs. tirzepatide: brand names, indications, dosing (OWR vs. MZF)
→ Patient selection, prior authorization, ICD-10/CPT billing
Tools used:
• Claude Code (Anthropic) — claude.ai/code
• Claude claude.ai
• PptxGenJS for slide generation
• SKILL.md framework for reusable AI expertise
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