Abstract 12: Accuracy and Validation of an Automated Electronic Medical Record Algorithm to Identify Patients with Atrial Fibrillation at Risk for Stroke [Session Title: Concurrent I Session B: Oral Abstracts on Stroke Topics]

Discussion: Automated methods can be used to identify patients with prevalent AF indicated for anticoagulation, but may suffer from misclassification of up to 12%. Misclassification is minimized by requiring a diagnosis of AF within the prior year and using a CHA2DS2-Vasc based algorithm. Despite differences in accuracy between definitions, system-wide anticoagulation rates assessed using these definitions were similar. The diagnosis codes validated in this study can be applied for internal quality improvement and observational studies, and might be adapted for use in nationwide quality reporting programs.

Source: Circulation: Cardiovascular Quality and Outcomes - June 2, 2014 Category: Cardiology Authors: Navar-Boggan, A. M., Rymer, J., Piccini, J. P., Shatila, W., Ring, L., Stafford, J., Al-Khatib, S. M., Peterson, E. Tags: Session Title: Concurrent I Session B: Oral Abstracts on Stroke Topics Source Type: research