Translational and Clinical Sciences Institute Electronic Health Records Data Support
Awarded by the National Institutes of Health (NIH)
Project Sponsor: National Institutes of Health, through a subaward from the University of North Carolina at Chapel Hill
Project Team:
- PI, Dr. Emily Griffith, Professor of the Practice, Department of Statistics; Director of Consulting, Data Science and AI Academy
- Co-PI, Dr. Rachel Levy, Executive Director, Data Science and AI Academy; Professor of Mathematics
- Dr. John Slankas, Senior Research Scholar for the Laboratory for Analytic Sciences
Graduate Research Associates:
- Avleen Mehal (Spring 2025)
- Suyash Sanjay Pustake (Spring 2025)
- Shubham Saboo (Fall 2024-Spring 2025)
- Yuki Su (Fall 2024-Spring 2025)
Project Award: $2,100,000
Project Timeline: April 2023-March 2030
Project Description
NC State received a sub-award of the North Carolina Translational and Clinical Sciences Institute (TraCS) at the University of North Carolina at Chapel Hill School of Medicine. NC TraCS is an NIH grant-funded institute founded as a service to the research community, guiding you through clinical trials and regulatory approval, all the way to implementation in patient care.
As part of the TraCS grant, the NC State Data Science and AI Academy (DSA) will collaborate to expand its current interdisciplinary data science consulting group with expertise provided by graduate research assistants. The DSA is building a consulting program to support clinical research in the NC TraCS program. Clinical researchers who have data or statistical questions that do not require method development do not have a mechanism to obtain support through NC TraCS. Because NC State has extensive experience with helping support that type of research question through the DSA and NC State University Libraries’ data science consulting program, we offered to develop a similar program focused on supporting NC TraCS.
The goals of this project are:
- Support clinical research within the NC TraCS program by creating useful and targeted programming that fills the identified gap.
- Train graduate students at NC State in collaborative biostatistics, data-intensive clinical research, and communication skills.
- Develop a support model that could be replicated at NC State and other institutions.
