Speakers
Jag Chhatwal, PhD, Harvard Medical School / Massachusetts General Hospital, Boston, MA, United States; Dalia Dawoud, BSc, MSc, PhD, Cytel, London, United Kingdom; Turgay Ayer, PhD, Value Analytics Labs, Boston, MA, United States
Separate registration required.
Prompt engineering—the art and science of designing effective inputs for generative AI—has become a critical skill for health economists and outcomes researchers. Mastery of prompt engineering can significantly enhance productivity, accuracy, and innovation in HEOR, unlocking the full potential of large language models (LLMs) and other AI tools. This course delivers a comprehensive introduction to prompt engineering, tailored specifically for the HEOR context. Participants will gain hands-on experience with practical prompt strategies for systematic literature reviews (SLRs), economic modeling, real-world evidence generation, and more. The curriculum also addresses current best practices and common pitfalls, equipping attendees to confidently apply prompt engineering in regulated and high-stakes settings.
PREREQUISITE: Basic knowledge of systematic literature reviews and economic modeling will be helpful. No prior knowledge or use of AI is required.
Topic
Methodological & Statistical Research