Predicting all‐cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison

Kieu Nguyen, Oanh; N. Makam, Anil; Clark, Christopher; Zhang, Song; Xie, Bin; Velasco, Ferdinand; Amarasingham, Ruben; A. Halm, Ethan

doi:10.1002/jhm.2568

Public

Predicting all‐cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison

Shared by NobleBlocks on Feb 28, 2016 • 12:00 AM UTC

Authors:

Oanh Kieu Nguyen

Anil N. Makam

Christopher Clark

Abstract

BACKGROUND Incorporating clinical information from the full hospital course may improve prediction of 30‐day readmissions. OBJECTIVE To develop an all‐cause readmissions risk‐prediction model incorporating electronic health record (EHR) data from the full hospital stay, and to compare “full‐stay” mo...

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