Design and implementation of an automated eye care system GUI

Abstract

Using a structured questionnaire sent to medical practitioners at Ibn Al-Haytham Eye Hospital, this study looks at user needs for a computerized Eye Care Management System (ECMS). The outcomes underline the requirement of automation in sophisticated image processing for disease identification, patient management, and appointment scheduling. Important needs found include easy user interfaces and safe data storage. These results led to the development of a prototype ECMS containing an interactive hospital interface with automatic Diabetic Macular Eedema (DME) identification.

This work shows how user-driven needs could direct the creation of sensible and quick eye care treatments. The information used in this study came from Ibn Al-Haytham Eye Hospital, therefore guaranteeing the practical relevance and legitimacy of the study. The created Python code was used for automated analysis and disease diagnosis to handle this actual data. The Eye Care Management System's user interface then was developed and put into use depending on the processed data and the needs found by means of the questionnaire.