Development and validation of a model predicting mild stroke severity on admission using electronic health record data
Initial stroke severity is a potent modifier of stroke outcomes but this information is difficult to obtain from electronic health record (EHR) data. This limits the ability to risk-adjust for evaluations of stroke care and outcomes at a population level. The purpose of this analysis was to develop and validate a predictive model of initial stroke severity using EHR data elements.
Source: Journal of Stroke and Cerebrovascular Diseases - Category: Neurology Authors: Kimberly J. Waddell, Laura J. Myers, Anthony J. Perkins, Jason J. Sico, Ali Sexson, Laura Burrone, Stanley Taylor, Brian Koo, Joanne K. Daggy, Dawn M. Bravata Source Type: research