Intro to Using OMOP for IMPACT-MH
2026-02-06 13:30 - 14:30 (America/New_York)
This workshop provides a practical introduction to using the OMOP Common Data Model within the IMPACT-MH framework. Led by experts from the Data Coordinating Center (DCC), the session will walk through core OMOP concepts and focus on real-world implementation at participating sites.

Topics covered include:

OMOP concepts and implementation framework

Overview of the 7 core OMOP tables

OMOP setup basics

ETL process and key implementation steps

Estimating implementation effort (based on skill level and experience)

IMPACT-Y data demonstration (use case)

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

Hosts / Instructors:

Na Hong, Instructor, Data Coordinating Center (DCC)

Chris Gilman, Senior Software Engineer, Data Coordinating Center (DCC)

Workshop materials:Slides will be provided following the session.

This workshop will be recorded.

Managing EHR Data: Duke-PMA
2026-02-27 11:30 - 12:30 (America/New_York)
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 UniversityDr. 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 SystemNelda 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.

Creating New Data Structures for NDA Submission Tutorial
2026-03-12 13:00 - 14:00 (America/New_York)
Join Ellen Zhou and Christian Horgan for this tutorial.

Additional Information:

Workshop materials: Slides will be provided following the session.

Recording: This workshop will be recorded.

Zoom link on the Team Calendar.

Operationalizing Research Questions with EHR Data
2026-03-27 13:30 - 14:30 (America/New_York)
Authors: Nicole Weiskopf, Ayo Babatunde, Steven Bedrick, Mary Roberts Davis

Operationalizing research questions and hypotheses using electronic health record (EHR) data remains a major methodological bottleneck in clinical and epidemiologic research. A core challenge is not simply identifying the “correct” EHR variable, but rather acknowledging that multiple defensible operationalizations often exist for the same concept. This talk will describe a conceptual approach grounded in theoretical substruction to guide the translation of research questions to EHR variables. This approach may be interwoven with the use of informatics methods and resources to yield practical artifacts that can be leveraged to translate between different data models and standards. Specific examples and common challenges using the OMOP common data model will be included.

IMPACT-MH EHR Workshop Series: Phenotyping for EHR
2026-04-17 14:00 - 15:00 (America/New_York)
Join Dr. Xu/DCC team who will discuss an informatics approach to phenotyping for both structured and unstructured data derived from electronic health records.

2026 In-Person IMPACT-MH Consortium Meeting
2026-04-29 11:00 - 17:00 (America/New_York) | Icahn School of Medicine at Mount Sinai Davis Auditorium (2nd Floor) at the Hess Center for Science and Medicine, 1470 Madison Ave, New York, New York, 10029, United States
The PREDiCTOR team hosted the first In-Person IMPACT-MH Consortium Meeting on April 29, 2026 in NYC just before the SOBP conference.

The event brought together close to one hundred consortium members for informational sessions and workshops, followed by a reception. Thank you to the Mount Sinai group for hosting such a successful event!

IMPACT-MH_Meeting_BookletDownload

Consortium Seminar: Sophia Frangou-From Global Datasets to Individual Predictions in Brain Health
2026-06-01 15:00 - 16:00 UTC

Consortium Seminar: Theodore D. Satterthwaite-Accelerating Translation with Reproducible Brain Charts for Psychiatry
2026-06-29 15:00 - 16:00 UTC

Consortium Seminar: Janine D. Bijsterbosch-Population Neuroimaging for Depression and beyond: What Works, What Doesn't, and What's Next?
2026-07-20 15:00 - 16:00 UTC

Annual Consortium Meeting In-Person 2026
2026-09-22 12:30 - 2026-09-23 15:00 (America/New_York) | National Institutes of Health (NIH), 6001 Executive Blvd, Suite 2136, Rockville, Maryland, 20852
View the Event Website Here!

This meeting will take place in person, with a hybrid remote participation option available.

Additional logistical details will be shared once in-person attendance is finalized. Please note that meals will not be provided. We are currently seeking sponsors to support the event.

Kindly respond the questionnaire by February 25 to assist with planning and accommodations.
