September 28, 2025
Explore how generative AI is transforming HEOR research and analysis.
This introductory course offers a practical overview of generative AI tools and their applications in Health Economics and Outcomes Research (HEOR), with a focus on how to access and apply LLMs beyond basic chatbot use.
Technical Topics Include:
Understanding generative AI and large language models (LLMs)
Accessing LLMs for research beyond chatbot interfaces
Prompt engineering for scientific HEOR applications
Privacy and security considerations when using Gen AI
Applying AI to:
Systematic literature reviews (SLRs)
Real-world evidence (RWE) analysis
Economic evaluations
This Course Offers Practical Tools You Can Use Immediately:
Step-by-step AI workflows using Python
Hands-on exercises for real-world HEOR tasks
Guidance on safely and effectively integrating Gen AI into your research
LEVEL: Introductory
TRACK: Methodological & Statistical Research
This short course is offered in-person at the ISPOR Real-World Evidence Summit 2025 . Separate registration is required. Visit the ISPOR Real-World Evidence Summit 2025 Program page to register and learn more.
FACULTY MEMBERS
Schedule:
LENGTH: 4 Hours | Course runs 1 day
Sunday, 28 September 2025 | Course runs 1 Day
8:00-12:00 Japan Standard Time (JST)
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.