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Papers of the Week
Identifying Modifiable Cost Drivers of Outpatient Unicompartmental Knee Arthroplasty with Machine Learning.
Abstract
Implementing tools that identify cost-saving opportunities for ambulatory orthopaedic surgeries can improve access to value-based care. We developed and internally validated a machine learning (ML) algorithm to predict cost drivers of total charges after ambulatory unicompartmental knee arthroplasty (UKA).