# Oklahoma Shared Clinical and Translational Resources

> **NIH NIH U54** · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · 2024 · $358,813

## Abstract

ABSTRACT
The integration of electronic health records (EHR) and the analysis of real-world data (RWD)
have significantly advanced clinical and translational research (CTR), although challenges
persist in data granularity and expertise. To address these, the University of Oklahoma Health
Sciences Center (OUHSC) aims to expand data science infrastructure and foster cross-
disciplinary partnerships to leverage RWD resources. This proposal, submitted as an
administrative supplement to the Oklahoma Shared Clinical and Translational Resources
(OSCTR) award, aligns with efforts to address health disparities in Oklahoma, focusing on
prevalent issues such as cancer, diabetes, and substance abuse. By enhancing text analytics
capacity and promoting collaboration between clinical and data science experts, the project
seeks to expedite research efforts and position OUHSC as a leader in health-focused data
science. Unique intercampus partnerships and innovative approaches, such as AI-assisted
information retrieval, promise to revolutionize CTR research at OU, ensuring Oklahoma
remains at the forefront of healthcare practice and research innovation.

## Key facts

- **NIH application ID:** 11064437
- **Project number:** 3U54GM104938-12S1
- **Recipient organization:** UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
- **Principal Investigator:** JUDITH A JAMES
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $358,813
- **Award type:** 3
- **Project period:** 2013-09-01 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11064437

## Citation

> US National Institutes of Health, RePORTER application 11064437, Oklahoma Shared Clinical and Translational Resources (3U54GM104938-12S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/11064437. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*