How Reliable Is Your Linked Data? Evidence from a JAMIA Validation Study

Meet the speakers

Image avatar of Amir Ahmed
Amir Ahmed
Senior Product Manager, Datavant
Image avatar of Douglas Bell, MD, PhD
Douglas Bell, MD, PhD
Professor, Department of Medicine, Division of General Internal Medicine, UCLA; Director, Informatics Program, UCLA Clinical and Translational Science Institute

About the webinar

Learn how leading researchers and technologists are validating real-world data linkage for clinical and research use.

Real-world data is only as valuable as its accuracy—and data linkage plays a critical role in ensuring that value. In this webinar, experts from UCLA and Datavant break down a recent JAMIA study that rigorously evaluates linkage performance across healthcare datasets.

You’ll gain a deeper understanding of how linkage is validated, what impacts accuracy, and how to apply these learnings in your own work.

Who should attend: clinical researchers, epidemiologists and outcomes researchers, healthcare data scientists and analysts, life sciences and pharma professionals, and health system leaders working with real-world data.

Please note that this webinar is not eligible for AHIMA-accredited CEU credits. We appreciate your understanding and look forward to your participation.

Agenda

●      How the JAMIA study was designed and conducted.

●      Key findings on linkage accuracy and reliability.

●      Common challenges in validating real-world data.

●      Practical approaches to improving confidence in linked datasets.

●      Real-world applications across research and healthcare.