AI Enabling Whole Health: Opportunities and Challenges for HEOR and HTA
Author(s)
Thomas Senderovitz, MD, NovoNordisk, Copenhagen, Denmark, Rachael Fleurence, PhD, NIH, Washington, DC, USA, Alexandra Berk, PhD, CVS Healthspire Life Sciences Solutions, Woonsocket, RI, USA and Anirban Basu, PhD, MS, University of Seattle, Seattle, WA, USA
Artificial intelligence (AI) is transforming the life sciences and healthcare sectors, offering unprecedented possibilities for innovation, efficiency, and quality. How can we harness the power of AI while ensuring its ethical, reliable, and fair use? How can we leverage AI to generate and communicate evidence that supports health technology assessment (HTA) and health economic and outcomes research (HEOR)? And how can we prepare ourselves for the future of AI and its impact on Whole Health? Join us in this plenary session where we will explore these questions and more from different perspectives and domains. You will learn about:
- The basics of AI and generative AI (GenAI), and how they differ from traditional data analysis and modelling techniques
- The current and emerging applications of AI in life sciences and healthcare, and how they are driving innovation and value across
- The challenges and opportunities of working with unstructured data sources, such as natural language, images, and real world evidence in the field of HEOR and HTA
- The technical and methodological aspects of developing, validating, and interpreting AI models and outputs, and how to ensure their transparency, reproducibility, and accountability
The session will feature presentations from experts in AI, HEOR, and HTA, followed by an interactive panel discussion.
Conference/Value in Health Info
2024-05, ISPOR 2024, Atlanta, GA, USA
Code
320
Topic
Real World Data & Information Systems