Abstract
Electronic health records (EHRs) have been increasingly adopted in the United States because of governmental incentives and the realization that healthcare should not lag behind other industries in deriving knowledge from “big data.” There has been much discussion about the use of big data to discover patterns for targeted therapy and disease prevention. However, much less is said about the readiness of EHR data for such data mining initiatives. The existence of data is often equated with the existence of good data, ie, high-quality, standardized data that can be used in sophisticated data analyses to reveal patterns that previously escaped observation. Although the difficulties of preparing data for such analyses are well known to informaticians, biostatisticians, and computer scientists specializing in machine learning, not all …
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