Managing EHR Data: Duke-PMA

Implementing a Standardized Research Data Model

Duke-PMA EHR Data Standardization Session

Join Dr. Ben Goldstein (Professor, Department of Biostatistics & Bioinformatics) and Nelda Bradley (Manager, ACE Applied Data Science) from Duke-PMA for a discussion on EHR data standardization within the Duke-PMA project.

Session Overview

With over 10 years of experience working with standardized EHR data, Duke has supported both multisite and internal retrospective research efforts. This session will highlight the data model implementation process, the tools used, and key lessons learned to inform and accelerate future research initiatives.

Speakers

Benjamin Alan Goldstein, PhD

Professor of Biostatistics & Bioinformatics, Duke University
Dr. Goldstein also holds appointments in Pediatrics and Population Health Sciences and is a member of the Duke Clinical Research Institute and the Division of Translational Biomedical Informatics. His research focuses on the meaningful use of EHR data at the intersection of biostatistics, biomedical informatics, machine learning, and epidemiology, collaborating with clinical and research teams locally and nationally.

Nelda Bradley, MMCi

Manager, ACE Applied Data Science, Duke University Health System
Nelda leads applied data science initiatives and brings extensive experience in health IT management and cross-functional collaboration. She partners closely with clinical, operational, and research stakeholders to ensure technology solutions align with organizational needs.

---

Who should attend?
Data managers, software engineers, and data scientists are especially encouraged to attend, though the session is open to all interested participants.

Additional Information:

• Workshop materials: Slides will be provided following the session.
• Recording: This workshop will be recorded.