Introduction to Applied Generative AI for HEOR

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

Participants who wish to gain hands-on experience are required to bring their laptops with Python installed.

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

William Rawlinson, MPhysPhil
Senior Health Economist
Estima Scientific
London, England, UK

Timothy Reason, MSc
Director and Founder
Estima Scientific
London, England, UK