Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors.

Sy HwangRyan UrbanowiczSelah LynchTawnya VernonKellie BreszCarolina GiraldoErin KennedyMax LeabhartTroy BleacherMichael R RipchinskiDanielle L Mowery Randall A Oyer

Published in: JCO clinical cancer informatics (2023)

We developed and validated models comparable with the existing Epic 30-day readmission models with several novel actionable insights that could create service interventions deployed by the case management or discharge planning teams that may decrease readmission rates over time.

Keyphrases

risk factors
end stage renal disease
ejection fraction
newly diagnosed
healthcare
mental health
palliative care
prognostic factors