Macular diseases are the main cause of legal blindness worldwide. The macula is a small zone of the retina responsible for central vision. The elderly are the most impacted, though anyone is susceptible. However, the efficacy of the new treatments is still unclear. Clinicians depend on their experience and knowledge to treat the patients with the best medication. Consequently, many resources are wasted, and the patient’s vision may get worse. In addition, many of them do not have proper software tools that help them manage and analyze their population of patients. To fight the lack of knowledge, it is essential to get a great amount of data efficiently, which implies using a well-defined Information System (IS). With this knowledge, creating profile patients and personalizing treatments would be possible. In this work, we present AGC-MAC, a Conceptual Model-based platform that overcomes these challenges and provides a user-friendly tool for managing and analyzing patients who suffer from retina-macula diseases.