Oklahoma State University’s Center for Health Systems Innovation leverages Oracle EHR Real-World Data to power early detection and intervention tools for rural and Native American communities. Discover how machine learning and clinical data reduce health disparities and drive smarter, more equitable care: https://social.ora.cl/6006CSUAM
To address persistent healthcare disparities in underserved regions, the Center for Health Systems Innovation at Oklahoma State University (OSU-CHSI) turned to Oracle EHR Real-World Data—a HIPAA-compliant dataset built from over 100 million patients across two decades. Using this resource, OSU researchers developed machine learning algorithms that help clinicians detect high-risk chronic diseases, such as diabetic retinopathy, even in areas with limited access to specialists. Their advanced 14-variable model, refined using Oracle’s robust clinical data, demonstrates over 90 percent accuracy for early risk assessment. These AI-driven tools empower healthcare providers to deliver life-saving interventions and reduce preventable morbidity in rural and Native American communities. Together, OSU and Oracle are advancing health equity with powerful, data-driven clinical innovation.
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