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Harnessing AI and Real-World Data for Patient Identification in Clinical Trials

The landscape of clinical trials is evolving rapidly, driven largely by advancements in technology. One significant innovation is the application of Artificial Intelligence (AI) to optimize the patient identification process through Electronic Health Records (EHR). A forthcoming webinar hosted by Xtalks aims to provide insights into the intersection of AI and real-world data (RWD) in enhancing clinical trial strategies.

In the dynamic field of clinical research, the need for efficient patient identification is paramount. The complexities associated with finding suitable candidates for clinical trials can be daunting, particularly given the vast amounts of data that exist in EHR systems. Traditionally, researchers have relied on labor-intensive methods, such as manual chart reviews, which can be both time-consuming and inefficient.

This free webinar will shed light on the inherent challenges and opportunities presented by utilizing EHR data as a reliable source of RWD for determining patient eligibility and selecting trial sites. Participants will discover how leading life sciences teams are leveraging AI technologies to unlock the value of EHR data for clinical trials.

AI’s Role in Streamlining Clinical Trial Processes

AI tools, including advanced models such as ChatGPT, are designed to analyze extensive datasets swiftly. They can efficiently sift through EHR data to identify potential trial participants, thereby reducing the time and effort that clinical research teams typically invest in these processes. This ability not only streamlines patient recruitment but also enhances the overall efficiency of clinical trials, particularly in an era where expediting research is critical.

During this informative session, attendees will have the opportunity to learn from a panel of distinguished experts. Topics will include:
1. Current Challenges and Opportunities: Discussing the effectiveness of EHR data in clinical trial site selection and patient identification.
2. Real-World Applications of AI: Showcasing how AI is currently being implemented to make the most of EHR data for clinical development, supported by real-life case studies from the life sciences sector.
3. Future Trends in Clinical Trial Design: Exploring potential future applications of AI that could further expedite trial processes and improve patient outcomes, including the creation of external control arms.

Expert Panel

The discussion will feature prominent figures in the field:

• - Joan Brown, EdD, MBA, CCE: Head of Operations AI/ML Rapid Development Studio at Fortrea.
• - Michael Yen, MD: Professor and Vice-Chair of Clinical Affairs at Cullen Eye Institute, Baylor College of Medicine.
• - Isaac Rodriguez-Chavez, PhD, MHSc, MSc: Principal Consultant, Board Member, and Scientific Advisor.
• - Ashley Brenton, PhD: Vice President, RWE, Syneos Health.
• - Ashley Daigneau: Head of Clinical Trials at Verana Health.

Join the Webinar

Scheduled for Tuesday, September 30, 2025, at 1 PM EDT (10 AM PDT), this webinar promises to deliver practical strategies and insights that can transform how clinical trials identify patients utilizing AI and EHR data.

To learn more or to secure your spot, visit the Xtalks website and register for the event: Patient Identification for Clinical Trials Through AI and Real-World Data

About Xtalks

Xtalks, powered by Honeycomb Worldwide Inc., stands as a premier source for educational webinars and digital content targeted at the ever-evolving sectors of life sciences, food, healthcare, and medical devices. Each year, thousands of industry professionals turn to Xtalks for reliable updates regarding industry developments, regulatory information, and insights from thought leaders.

For additional details about hosting webinars or to learn more about Xtalks, visit www.xtalks.com.