Advancing HEOR and RWE Research With Generative AI (GenAI)
Author(s)
Moderator: Eric Q. Wu, PhD, Analysis Group, Boston, MA, USA
Speakers: Hua Xu, PhD, Yale University School of Medicine, New Haven, CT, USA; Rajeev Ayyagari, PhD, Analysis Group, Inc., Boston, MA, USA; Jimmy Royer, PhD, Analysis Group, Inc., Boston, MA, USA
Presentation Documents
GenAI is revolutionizing HEOR and RWE by offering innovative methods to process and analyze vast datasets, model complex health economics phenomena, and enhance decision-making processes. GenAI tools powered by LLMs facilitate the development of deeper and more comprehensive understanding of diseases and treatment outcomes and significantly improve the extraction of insights from diverse data sources, including electronic health records, claims data, and scientific literature. By harnessing the power of GenAI, researchers and practitioners in the field are unlocking new possibilities for advancing health care innovation and improving patient care. Participants in this symposium will explore the frontiers in GenAI, discuss key developments and challenges, and present examples of GenAI’s applications in HEOR and real-world research. Among these examples is Analysis Group’s own proprietary GenAI platform, which excels in text classification, research summarization, and automated data analysis. The introduction of this platform and similar GenAI platforms is set to further empower the health care sector, offering more effective and efficient tools to researchers for streamlining complex analyses, enhancing research accuracy, facilitating evidence-based decision making, and deepening overall understanding of complex diseases and treatments, ultimately leading to more effective health care solutions and policymaking.
Conference/Value in Health Info
2024-05, ISPOR 2024, Atlanta, GA, USA
Code
215