Session (CTI)

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 large language models (LLMs) facilitate the development of a deeper and more comprehensive understanding of diseases and treatment outcomes, and significantly improve the extraction of insights from diverse data sources such as 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 RWE research. Among these examples is Analysis Group’s own proprietary GenAI platform, which excels in text classification, research summarization, and rapid data analysis. GenAI can also streamline the automated screening of research published in various languages by providing accurate translations and summarizations, thereby informing decision making with comprehensive insights across diverse sources. These GenAI-powered capabilities have greatly improved the efficiency of HEOR and RWE research and offered powerful and creative insights into health care data and literature. The introduction of this 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.

Sponsored by Corporate Partner, Analysis Group