Temporal Data Requirement for Predicting Unplanned Hospital Readmissions

ArXi:2605.00738v1 Announce Type: new With the proliferation of Electronic Health Records (EHRs), a critical challenge in building predictive models is determining the optimal historical data time window to maximize accuracy. This study investigates the impact of various observation windows ranging from the day of surgery to three years prior on predicting 30-day readmission following hip and knee arthroplasties. The dataset encompasses both structured encounter records (over 4M) and unstructured clinical notes (80,000) from 7,174 patients.