November 17, 2024
Delve into the transformative role of Generative AI and large language models (LLMs) to enhance HEOR
Generative AI and the use of LLMs are enhancing key areas of HEOR such as systematic literature reviews (SLR) and real-world evidence synthesis, economic modeling, regulatory decision-making, and the development of external control arms.
Enroll into this course to:
- Apply generative AI technologies to conduct comprehensive and efficient systematic literature reviews, synthesize evidence at scale, and construct robust economic models that support healthcare policy and market strategies.
- Discuss the strategic use of AI in developing external control arms, essential for clinical trials and regulatory submissions, thereby improving the quality and speed of healthcare decisions.
- Engage in hands-on exercises and case study analyses to gain practical skills and insights into leveraging AI to streamline research processes, enhance data analysis, and forge ahead in the dynamic field of healthcare research and policy.
This program is ideal for HEOR data analysts, outcome researchers, epidemiologist, health economists, regulatory affairs professionals, and anyone in all substance matter fields involved in the planning and implementation of healthcare strategies.
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: Intermediate
TRACK: Study Approaches
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
13:00-17:00 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.