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.