Prospective validation of an algorithm to identify hospitalized diabetic patients using administrative data

Abstract

To facilitate healthcare quality improvement initiatives, we previously developed an algorithm to identify diabetes mellitus (DM) patients using only electronically available administrative data. In this study, we have validated our prediction model, screening over 28,000 admissions and determining factors associated with false positive assignment. These factors will be incorporated into a revised algorithm.