“Improving Glaucoma Patient Records to Support Medical Decision Making Through Computer-based Tools”
Glaucoma is a chronic eye disease and one of the leading causes of vision loss in the United States. If treated properly, the progression of the disease can be significantly decelerated; therefore, sequential tests are done to track each patient’s disease progression and adjust the treatment provided. The combination of increased patient data and hard-copy test results makes it difficult for clinicians to analyze the records of their patients, which may lead to poor medical decisions. To address this problem, we developed a computer-based tool that can deal with large databases through a simple interface. This tool is used to visualize the progression of each patient’s visual field and intraocular pressure and guide medical decisions. The patient’s information is displayed on the main screen of the tool developed, and scanning through different patients and their visits can be easily done by the user. This is of extreme importance for a clinician, since their decisions are based on those observations. In chronic diseases such as glaucoma, knowing the optimal time to monitor patients is crucial. Our tool provides the ideal framework to incorporate existing monitoring algorithms. Moreover, as part of this research project, we have started investigating the potential application of the concepts developed into other eye diseases such as macular degeneration.