Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI

How can artificial intelligence (AI)–powered point-of-care diabetic retinopathy screenings in federally qualified health centers improve access for medically underserved patients?The Diabetic Retinopathy Screening Point-of-Care Artificial Intelligence trial aims to demonstrate that a multicomponent approach—AI-powered diabetic retinopathy screenings, real-time integration of results with electronic health records, and patient education—within federally qualified health centers can improve patient adherence to annual retinal screening and diabetes standard of care.The Diabetic Retinopathy Screening Point-of-Care Artificial Intelligence trial aims to establish a replicable protocol and transform clinical workflows to enhance access to diabetes eye care by accelerating AI integration in clinical settings, ultimately improving patient care, population health, health care costs, and patient and practitioner experience.

Corresponding Author: Edgar A. Diaz, MD, San Ysidro Health, 1601 Precision Park Ln, San Diego, CA 92173 (edgar.diaz@syhealth.org).

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