AI in Evidence Synthesis: Are the Robots Taking Over?

July 10, 2025

Back to all webinars

Open to all ISPOR Members and Non-members


Title: AI in Evidence Synthesis: Are the Robots Taking Over? 

Thursday, July 10, 2025
10:00AM EDT | 2:00PM UTC | 4:00PM CEST

Click here for time zone conversion

Registration coming soon.

Description

Systematic literature reviews (SLRs) and other forms of evidence synthesis are critical components of healthcare decision-making. With the rapid expansion of available data from clinical trials to real-world evidence, the volume and complexity of evidence requiring synthesis have grown substantially in recent years. Innovations in artificial intelligence (AI) have the potential to transform evidence synthesis. Currently, total automation of evidence synthesis to exclude human intervention is infeasible; however, the areas where AI can replace or augment humans, such as SLRs and meta-analyses, are developing rapidly, although the extent is unclear.  

This webinar will cover the potential of AI to augment and semi-automate evidence synthesis projects, focusing on SLRs. We will discuss the science and sentiments around implementing these capabilities, including how they are perceived by key stakeholders, such as health technology assessment (HTA) agencies. Among other topics, we will contrast the use of these technologies in the United States versus other countries, such as the United Kingdom and Germany, and discuss disease areas and fields of evidence where implementing these capabilities is a higher priority.  

 

Learning Objectives

  • Explore how AI can support SLRs, identifying which tasks are most amenable to augmentation.
  • Address potential pitfalls in using AI for SLRs, including differing abilities of stakeholders to evaluate the implications of AI approaches and platforms.
  • Understand differences in AI adoption for evidence synthesis and the factors influencing regional implementation.
  • Explore the acceptability of AI.
  • Identify priority disease areas and evidence types where AI-enabled evidence synthesis offers the most immediate value and feasibility.

 

Moderator:

Grace Fox, PhD, Director, SMA, OPEN Health, New York, NY, USA

Speaker:

Nick Halfpenny, MSci, Senior Director & Joint EU Lead, SMA, OPEN Health, Rotterdam, The Netherlands


Sponsored by Corporate Partner, OPEN Health

 


Please note:
 On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar.

Reservations are on a first-come, first-served basis.

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×