November 17, 2024
The rapid advancement in generative artificial intelligence (Gen AI) presents an opportunity for transformative potential in the field of Health Economics and Outcomes Research (HEOR).
Learn about generative AI models with a particular focus on large language models (LLMs), which are revolutionizing the field of HEOR.
Enroll in this course to:
- Learn the most appropriate ways to access LLMs, going beyond the use of chatbots.
- Gain insights into how to use prompt engineering to conduct scientific research.
- Explore issues pertaining to privacy and security when using Gen AI for HEOR.
During this course, participants will explore specific applications of these models for conducting robust scientific HEOR research in systematic literature review (SLR), real-world evidence analysis, and economic evaluation. Participants will be equipped with the knowledge to begin to use generative AI techniques for specific HEOR contexts and to appreciate how these innovative approaches can enhance HEOR activities.
Practical exercises using Python and relevant AI frameworks will be incorporated for participants to follow along.
This short course is offered in-person at the ISPOR Europe 2024 conference.
*Conference attendance is not required to attend an ISPOR Short Course. Separate registration is required for conference attendees.
LEVEL: Introductory
TRACK: Real World Data & Information Systems
HEOR Key Competency (2024): 10.3 Artificial Intelligence (AI) and Machine Learning (ML)
LENGTH: 4 Hours | Course runs 1 day
FACULTY MEMBERS
Schedule:
Sunday, 17 November 2024 | Course runs 1 Day
08:00-12:00 Central European Time (CET)
Register Here
*Conference attendance is not required to attend an ISPOR Short Course. Separate registration is required for conference attendees.
Visit the ISPOR Europe 2024 Program page to view all short courses offered.