Understanding AI in Real-World Data Analysis
Join us for an engaging and informative webinar that delves into the significant role of artificial intelligence (AI) in the analysis of real-world data derived from multiple sources like electronic health records (EHR), claims, and medical images. This session will focus on the essential questions to consider when utilizing AI in generating real-world evidence for life sciences and healthcare.
The Need for Clarity in AI Applications
As organizations in the healthcare sector increasingly rely on AI tools, standing out in a crowded marketplace presents challenges. Each company asserts its unique approach to harnessing AI for data extraction and curation, leading to a spectrum of overlapping claims. Participants in this webinar will learn how to pinpoint credible applications among a sea of generic solutions. This involves evaluating the integrity and quality of the data as well as the processes employed by organizations.
Real-World Evidence: An Essential Tool
Real-world evidence plays a pivotal role in shaping drug development and regulatory strategies. Organizations rely on trustworthy data to inform clinical trial designs and regulatory submissions. By understanding the questions to ask when integrating AI into the examination and interpretation of this data, life sciences professionals can enhance their operational pathways.
Insights from Industry Leaders
This webinar features insights from industry experts who have successfully navigated the complexities of using AI in real-world applications. Participants will discover not only the current challenges faced by organizations but also learn lessons from real-world projects that produced regulatory-grade evidence. This guidance promises to equip professionals with the knowledge necessary to refine their strategies for AI implementation in healthcare.
Webinar Overview
This educational session is part of the Real-World Data in Action Series, providing a platform to explore critical topics surrounding the integration of AI in healthcare. Key discussion points will include:
- Challenges in evaluating AI tools for analyzing data from EHRs, claims, and imaging.
- Distinguishing credible AI applications from generic offerings.
- Success stories of real-world projects utilizing AI for credible evidence generation.
Don't miss your chance to gain valuable insights. Join a panel of experts including Scott Schliebner, Vice President at Novotech; Mariah Baltezegar from Thermo Fisher Scientific; Tim Hoctor from Pistoia Alliance; and Aracelis Torres from Verana Health for this essential discussion.
Event Details
The live webinar is scheduled for a convenient time, allowing attendees from various regions to participate. Mark your calendars, and prepare to be part of a thought-provoking conversation on the intersection of AI and real-world data.
Frequently Asked Questions
What is the focus of the webinar?
The webinar aims to educate participants on critical questions related to applying AI to real-world data in healthcare.
Who are the featured speakers?
Experts from Novotech, Thermo Fisher Scientific, Pistoia Alliance, and Verana Health will lead the discussion.
What types of real-world data will be covered?
The webinar will focus on data sources such as EHRs, imaging, and claims.
Why is real-world evidence important?
It plays a vital role in shaping clinical trial strategies and meeting regulatory requirements.
How can I register for the webinar?
Details for registration will be provided during promotional communications for the event.
