Prediabetes Case Identification: Accuracy of an Automated Electronic Health Record Algorithm
The prevalence of prediabetes continues to grow in the United States. Our study aimed to determine the accuracy of a population health approach that applies an algorithm to electronic health data at identifying patients with undiagnosed prediabetes. We conducted a cross-sectional study among patients receiving care at the Miami VA Healthcare System.
