Artificial intelligence (AI) is revolutionizing clinical development and health economic evidence generation. As a corollary, the increasing use of big data is becoming critical throughout the product development lifecycle, especially in support of health technology assessment (HTA) and reimbursement discussions. But the potential use cases for AI in healthcare are yet to be fully explored – and there is some uncertainty regarding how best to leverage AI to optimize patient access to much-needed therapies. The symposium will chart the evolution of AI in clinical development, health economic evidence generation, and HTA. The presenters will also discuss the use cases for AI in literature reviews and the analysis of RWD, including cohort selection, algorithm development, identification of prognostic factors, predictive analytics, causal inference, and future developments of AI tools and systems. Further, the presenters will explore applications for developing health economic models to optimize patient access, drawing from lessons learned to date.

Why attend?

Attendees will gain a thorough understanding of the AI journey in healthcare, and its potential to transform and improve evidence generation and market access. AI and human intelligence will play an integral part in RWD analysis and HEOR evidence, and we discuss its growing importance for optimized patient access.

Seating is limited.

Sponsor: Parexel