Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI: DRES-POCAI: A Trial Protocol.

Edgar A Diaz¹, Marva L Seifert², Vida Gruning¹, Nicole A Stadnick^3,4,5, Elizabeth Lugo-Butler¹, Ariel N Servin¹, Christian I Rodríguez-Rosales¹, Carrie Geremia⁴, Chaithanya Ramachandra⁶, Malavika Bhaskaranand⁶, Dan Howard¹, Oliver Solis¹, Sharon Velasquez¹, Brian Snook¹, Sonia Tucker¹, Fatima A Muñoz¹

¹San Ysidro Health, San Diego, California.

²Department of Medicine, University of California San Diego, La Jolla.

³Department of Psychiatry, University of California San Diego, La Jolla.

⁴University of California San Diego Altman Clinical and Translational Research Institute Dissemination and Implementation Science Center, La Jolla.

⁵Child and Adolescent Services Research Center, San Diego, California.

⁶Eyenuk Inc, Woodland Hills, California.

PubMed PMC DOI PDF

Abstract

IMPORTANCE: Diabetic retinopathy screening (DRS) rates have historically been low among underserved populations due to barriers in accessing traditional eye care. Although artificial intelligence (AI)-powered DRS provides a potential strategy to improve screening rates, its optimal integration into primary care workflows within federally qualified health centers (FQHCs) requires rigorous evaluatio…

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