Background: Diabetes is one of the most common diseases in the world, including in Indonesia. High blood sugar levels in diabetics can cause various complications, one of which is diabetic retinopathy. The treatment used in diabetic retinopathy does not fully provide the desired therapeutic effect in all patients. Therefore, a study was conducted on the prescription drug approach to optimize diabetic retinopathy therapy. Methods: This article was prepared using the literature review method by collecting and analyzing relevant literature sources. Findings: This study reveals that diabetic retinopathy is a complication of diabetes whose development can be influenced by genetic and environmental factors of the patient. Precision medicine can be applied in determining the best therapy for diabetic retinopathy by analyzing the clinical condition history, molecular and biochemical biomarkers of patients using artificial intelligence or machine learning. Conclusion: optimization of diabetic retinopathy therapy can be done with a precision medicine approach by analyzing genetic factors and patient environmental factors. However, there are still some challenges in its application in Indonesia. Novelty/Originality of this article: analysis of the application of precision medicine to provide the best therapy for patients in Indonesia.
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