Patient Identification for Clinical Trials Through AI and Real-World Data, Upcoming Webinar Hosted by Xtalks

In this free webinar, gain insight into the benefits and challenges of utilizing electronic health record (EHR) data as a real-world data (RWD) source for clinical trial strategies, including patient identification and site selection. Attendees will learn how life sciences teams are applying AI to unlock the value of EHR data to identify patients for clinical trials. The featured speakers will share ways in which AI can be applied to EHR data to inform future trial design.

TORONTO, Sept. 9, 2025 /PRNewswire/ -- It is well known that the information needed to identify the ideal patients for clinical trials exists within electronic health record (EHR) data, but accessing it remains challenging without cumbersome, manual chart reviews. Today, clinical research teams are overwhelmed with data but lack the necessary insights, especially during a time of intense pressure to accelerate clinical trials and reduce costs. AI tools like ChatGPT are processing vast amounts of data to save time and deliver answers, so how can AI strategies be utilized to analyze EHR data to identify ideal patients faster?

This webinar will explore ways in which advanced AI models today and in the future can be applied securely to real-world data (RWD) such as EHR data. The featured speakers will discuss key examples of how applying AI methods such as machine learning, natural language processing and large language models on EHR data, both structured fields and unstructured clinical notes, is accelerating site selection and patient identification.

This webinar is part of the RWD in Action Series and will feature a discussion that includes:

• The challenges and opportunities of using EHR data as a RWD source for clinical trial site selection and patient identification
• How AI is being applied today to leverage EHR RWD for clinical development, featuring life sciences case studies
• Future applications of AI for EHR and other RWD sources to accelerate trial design, build external control arms and more

Register for this webinar to learn practical strategies for patient identification using AI on real‑world EHR data.

Join Joan Brown, EdD, MBA, CCE, Head of Operations AI/ML Rapid Development Studio, Fortrea; Michael Yen, MD, Professor and Vice-Chair of Clinical Affairs, 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; and Ashley Daigneau, Head of Clinical Trials, Verana Health, for the live webinar on Tuesday, September 30, 2025, at 1pm EDT (10am PDT).

For more information or to register for this event, visit Patient Identification for Clinical Trials Through AI and Real-World Data.

ABOUT XTALKS

Xtalks, powered by Honeycomb Worldwide Inc., is a leading provider of educational webinars and digital content to the global life science, food, healthcare and medical device communities. Every year, thousands of industry practitioners (from pharmaceutical, biotechnology, food, healthcare and medical device companies, private & academic research institutions, healthcare centers, etc.) turn to Xtalks for access to quality content. Xtalks helps professionals stay current with industry developments, regulations and jobs. Xtalks webinars also provide perspectives on key issues from top industry thought leaders and service providers.

To learn more about Xtalks, visit www.xtalks.com
For information about hosting a webinar, visit www.xtalks.com/why-host-a-webinar/

Contact:
Vera Kovacevic
Tel: +1 (416) 977-6555 x371
Email: [email protected]

SOURCE Xtalks