Investigating bias in a population-level electronic health record surveillance system of individuals with congenital heart disease
Population-level electronic health record (EHR)-based surveillance systems are becoming increasingly common resources for clinical research and remain relatively novel in the U.S. for chronic disease surveillance. Although these high-dimensional data present many opportunities for analyzing large numbers of patient records in near real time, one of the primary challenges of using EHR data is all eligible cases in the source population may not be identified. While it has been acknowledged that incomplete case ascertainment may affect prevalence estimates, it is often assumed that it should not ...
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