Advancing pregnancy safety research: harnessing real-time EHR data for post-approval studies


Discover how real-time electronic health record (EHR) data enables timely, comprehensive post-approval safety studies, with a focus on addressing critical gaps in pregnancy safety research.

Post-approval safety studies can reveal risks that clinical trials miss—especially for underrepresented populations like pregnant women, who are typically excluded from pre-market research. These studies are essential for understanding real-world drug and device effects, yet existing datasets are often fragmented, outdated, or cumbersome to analyze.

This webinar will demonstrate how regulatory-grade EHR data from over 120 million patients, including clinical notes and images, can overcome these challenges. Learn how real-time data is transforming safety studies and uncover new possibilities for advancing pregnancy safety research using detailed mother-child data.

Your details

Date and time

Tuesday
21
January
19:00 GMT
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What you will learn:

  • Learn how daily updated EHR data enables timely, robust post-approval safety studies from Day 1
  • Explore obstetric and neonatal/infant outcomes available for study, sourced from more than 1.1 million mother–child pairs
  • Gain insight into how longitudinal EHR data, clinical notes, and imaging can be used to enhance safety research
Speakers:

Conor Wyand
Senior Director, Partner Solutions, Truveta


Conor Wyand currently is the Senior Director, Partner Solutions at Truveta where he leads a team responsible for engaging with potential new life science customers. Prior to joining Truveta in 2021, Conor spent six years in various leadership positions at Optum Life Sciences, working with pharmaceutical and medical device manufacturers across the value chain to generate real-world evidence for therapeutics and devices. Conor graduated from Brown University with a bachelor’s degree in applied mathematics and economics.

Sarah Stewart, MD
Director of Clinical Informatics, Truveta

Sarah Stewart, MD, is a practicing pediatrician and Director, Clinical Informatics at Truveta, where she leads efforts in data normalization. Prior to Truveta, she completed her residency in Pediatrics at Lucile Packard Children’s Hospital at Stanford University. She further specialized with a fellowship in Clinical Informatics at the University of Washington. Dr Stewart is passionate about leveraging data to transform healthcare, particularly in improving outcomes for mothers and babies.

Moderator:

Laura Dormer

Editor, The Evidence Base
Editor in Chief, Journal of Comparative Effectiveness Research
Editorial Director, Becaris Publishing 

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