Measuring adverse events following hip arthroplasty surgery using administrative data without relying on ICD-codes
Introduction Measure and monitor adverse events (AEs) following hip arthroplasty is challenging. The aim of this study was to create a model for measuring AEs after hip arthroplasty using administrative data, such as length of stay and readmissions, with equal or better precision than an ICD-code based model. Materials and methods This study included 1 998 patients operated with an acute or electi
