Timing of 30-Day Hospital Readmission Risk and Its Implications for Clinical Utility

In this prognostic study of adult hospital discharges, hospital readmission risk varied over time and was not captured by a single binary 30-day estimate. These findings suggest that time-structured readmission modeling can characterize when readmission risk occurs, but additional work is needed before such models can reliably guide interventions during specific postdischarge intervals.

Corresponding Authors: Shant Ayanian, MD, MS, MS (ayanian.shant@mayo.edu), and Sagar B. Dugani, MD, PhD, MPH (dugani.chandrasagar@mayo.edu), Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN 55905.

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