Ophthalmology data mainly include eye diseases, age, living environment, genetic factors, lifestyle, medical services and so on. In recent years, with the rapid development of scientific and technological information and the continuous improvement of ophthalmology diagnosis and treatment technology, ophthalmology data has also shown a trend of digitalization and networking. At present, major hospitals and scientific research institutions have established ophthalmology data platforms, which summarize the data of ophthalmology diseases all over the country to form big data to assist medical research and ophthalmology clinical work.
Ophthalmology data is also of great significance in medical research, medical education and medical care. For medical researchers, through the analysis of ophthalmic data, we can explore the internal mechanism of ophthalmic diseases and promote the deepening and innovation of medical research. For medical education and training, the use of ophthalmology data to establish case analysis and diagnosis ideas can better promote the improvement of doctors' professional quality. In the field of medical care, people can use ophthalmic data to provide more comprehensive, professional and personalized eye care services to better protect eye health.