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Predicting Kidney Transplant Recipient Cohorts’ 30-Day Re- Hospitalization Using Clinical Notes and Electronic Healthcare Record Data

Michael Arenson , Julien Hogan , Liyan Xu , Raymond Lynch , Yi-Ting Hana Lee , Jinho D. Choi , Jimeng Sun , Andrew Adams , Rachel E. Patzer

Abstract

Introduction: Rehospitalization after kidney transplant is costly to patients and healthcare systems and is associated with poor outcomes. Few prediction model studies have examined whether inclusion of clinical notes data from the electronic medical record (EMR) enhances prediction of rehospitalization.