October 5, 2023
Open to all ISPOR Members and Non-members
Title: Applications of Large Language Models for RWD Analytics
11:00AM EDT | 3:00PM UTC | 5:00PM CEST
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The capabilities of artificial intelligence (AI), in particular large language models (LLMs) such as ChatGPT are growing quickly and are set to transform many areas of our lives. This is a fast moving area however, and using these types of AI systems for real-world health data analytics is not without challenges.
In this webinar, we will give an overview of LLMs and share practical advice and cutting-edge examples about how to use them to help carry out real-world evidence (RWE) studies. We will also show how integrating GPT into population health analytics enables complex real-world datasets to be explored using simple language queries to transform the way that decision makers use data to identify unmet health needs.
- Understand LLMs - what they are and how they work
- Identify opportunities and challenges of LLMs for analyzing real-world health data
- Discover ways to use LLMs for population health analytics
Moderator:
Speakers:
Jonathan Pearson-Stuttard, MD, Head of Health Analytics & Partner, Lane Clark & Peacock LLP, London, England, UK
Thomas Porter, MA, Strategy Director, Lane Clark & Peacock LLP, London, England, UK
Adrian Rabe, MD, Medical and Scientific Lead, LCP Health Analytics, London, England, UK
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.