Harnessing the Power of AI: Revolutionizing HEOR and Market Access

Speaker(s)

Moderator: Steven Laux, MBA, Trinity Life Sciences, East Norriton, PA, USA
Panelists: James Creeden, MD, PhD, CGC Consulting, Basel, Basel, Switzerland; Francesco De Solda, PharmD, MBA, Janssen Global Services LLC, Raritan, NJ, USA; Adrienne Lovink, MASc, Trinity Life Sciences, Waltham, MA, USA

Presentation Documents

The application of generative and predictive AI in Health Economics and Outcomes Research and Market Access is changing the way we approach evidence generation and healthcare decision-making. This growing interest is exemplified by the recent increase in literature. A targeted search of PubMed and the ISPOR database identified 600+ publications on the application of AI in HEOR methods since 2018 and 200+ poster/panel presentations at ISPOR on AI in 2023 alone. While there is significant promise in AI for HEOR and Market Access, it remains a nascent field, and questions remain on how and where to best apply AI and how to drive adoption.

Our goal is to explore approaches to leverage AI in HEOR and Market Access and relate real-world learnings. Our experts will relate their experiences on the application of AI by exploring tangible examples in HEOR and Market Access. They will share their experiences including challenges faced and best practices learned.

The symposium will explore the potential of AI to improve specific aspects of HEOR research, including methodologies and or areas where AI can be applied to improve efficiency while maintaining quality and rigor. Predictive and generative AI has the potential to transform the way pharma conducts HEOR and Market Access research through its ability to analyze and summarize large amounts of data, extract insights, and provide institutional memory to new team members. Specific applications developing content for dossiers and product value messaging, summarizing and synthesizing HTA decisions, developing access rationales and predicting access outcomes.

Panelists will discuss the importance of setting clear goals/objectives, cross-functional alignment and a multi-stakeholder approach to fully realize the potential of AI in HEOR and Market Access. Our goal is to cut through the noise and provide real-world examples of what has worked and what has not and what the future holds.

Code

134

Topic

Health Technology Assessment