May 17, 2026
Learn how effective prompt design can unlock the full potential of generative AI for HEOR research.
Prompt engineering is a critical skill for using generative AI tools accurately and efficiently in health economics and outcomes research (HEOR). This short course introduces the core principles of prompt engineering and demonstrates how well-designed prompts can improve productivity, rigor, and insight when working with large language models (LLMs) in research settings.
Technical Topics Include:
Fundamentals of prompt engineering for HEOR applications
Designing prompts for systematic literature reviews and evidence synthesis
Applying prompts to economic modeling and real-world evidence tasks
Common pitfalls and limitations of prompt-based workflows
Best practices for using prompts in regulated and high-stakes environments
This Course Includes Tools and Concepts That Can Be Immediately Applied, Including:
Practical prompt strategies tailored to HEOR use cases
Hands-on examples using LLMs for research workflows
Guidance on improving accuracy, transparency, and reproducibility
PREREQUISITE: Basic knowledge of systematic literature reviews and economic modeling will be helpful. No prior knowledge or use of AI is required.
LEVEL: Introductory
TRACK: Methodological & Statistical Research
This short course is offered in-person at the ISPOR 2026 conference. Separate registration is required. Registration coming soon. Visit the ISPOR 2026 Program page to learn more.
FACULTY MEMBERS
Schedule:
LENGTH: 4 Hours | Course runs 1 day
Tuesday, 17 May 2026 | Course runs 1 Day
ISPOR short courses are designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Short courses offer 4 or 8 hours of premium scientific education and an electronic course book. Active attendee participation combined with our expert faculty creates an immersive and impactful learning experience. Short courses are not recorded and are only available during the live course presentation.