Research Article: Machine Learning Prediction of Postoperative Emergency Department Hospital Readmission

Although prediction of hospital readmissions has been studied in medical patients, it has received relatively little attention in surgical patient populations. Published predictors require information only available at the moment of discharge. The authors hypothesized that machine learning approaches can be leveraged to accurately predict readmissions in postoperative patients from the emergency department. Further, the authors hypothesize that these approaches can accurately predict the risk of readmission much sooner than hospital discharge.

AnesthesiologyHospital readmissionPerioperative medicineResearch Article