The relatively rapid and recent adoption of electronic health records (EHRs) in ophthalmology has been associated with the promise that the accumulation of large volumes of clinical data would facilitate quality improvement and help to answer a variety of research questions. Given that EHRs are relatively new in most practices and that clinical data are inherently more complex than other fields that have been altered by the digital revolution, these proposed benefits have yet to be realized. The results reported by Shen et al in this issue of Ophthalmology (see http://www.aaojournal.org/ article/S0161-6420(15)00673-9/abstract) represent an early glimpse of just how ophthalmology may ultimately benefit from “big data.” TheKaiser Permanente health systemwas a relatively early adopter of EHR (1995) and therefore is in a position to demonstrate how a large database of clinical information can be used to assess risk factors for disease without having to undertake costly population-based studies. By querying the data from one regional Kaiser system of 3.5 million patients, the authors were able to analyze the information from >400