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Year : 2022  |  Volume : 4  |  Issue : 1  |  Page : 14

Screening strategy in ocular diabetes with automatic detection system in the Chilean public health system

1 Director of the Ophthalmology Unit of the Digital Hospital, Chilean Ministry of Health; President of the Chilean Society of Ophthalmology; Ophthalmology Service of the regional clinical hospital of Concepción Chile; Committee for the prevention of blindness of the Pan American Association of Ophthalmology
2 Director of the Ophthalmology Unit of the Digital Hospital, Chilean Ministry of Health; Ophthalmology Service of the Pasteur Clinic
3 Project Manager, Department of Digital Health, Chilean Ministry of Health
4 Head of Digital Unit, Department of Digital Health Undersecretary of Assistance Networks, Chilean Ministry of Health

Correspondence Address:
Dr. Fernando Barría von-Bischhosffshausen
Calle San Martín 1350 Concepción, Santiago

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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/pajo.pajo_117_21

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Summary: Diabetic retinopathy (DR) is the leading cause of blindness among working-age persons in high-income countries. A public system strategy was developed to improve screening, using telemedicine, automatic detection using artificial intelligence (A/I) and medical reporting. In the current work, we evaluated program efficiency. Material: We conducted a cross-sectional study using information from an institutional database of retinographies submitted to the A/I platform in 2019. With a positive test, a medical report was made using the international scale. Results: In 2019, 220,994 retinographies were reported, corresponding to 24.0% of diabetic patients. Around half (53.0%) of cases were discarded by A/I, being different in each regional health service. The medical analysis discarded diabetic retinopathy in 30.2% of exams, 11.5% had diabetic retinopathy, including 2.3% with risk of blindness, while 3.7% could not be evaluated. Discussion: The use of A/I allowed optimizing the medical resources, discarded 53% of cases, which helped in the screening of diabetic retinopathy. Coverage is still insufficient, and detection of macular edema must be improved.

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