An Automated Model Using Electronic Medical Record Data Identifies Patients With Cirrhosis at High Risk for Readmission Amit G. Singal, Robert S. Rahimi,

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Presentation transcript:

An Automated Model Using Electronic Medical Record Data Identifies Patients With Cirrhosis at High Risk for Readmission Amit G. Singal, Robert S. Rahimi, Christopher Clark, Ying Ma, Jennifer A. Cuthbert, Don C. Rockey, Ruben Amarasingham Clinical Gastroenterology and Hepatology Volume 11, Issue 10, Pages 1335-1341.e1 (October 2013) DOI: 10.1016/j.cgh.2013.03.022 Copyright © 2013 AGA Institute Terms and Conditions

Figure 1 Thirty-day readmission rates stratified by readmission model risk quintile. Clinical Gastroenterology and Hepatology 2013 11, 1335-1341.e1DOI: (10.1016/j.cgh.2013.03.022) Copyright © 2013 AGA Institute Terms and Conditions

Figure 2 Time to readmission stratified by readmission model risk quintile. Patients in the lowest-risk category had a significantly longer time to readmission than those in the highest-risk group (P < .001). Clinical Gastroenterology and Hepatology 2013 11, 1335-1341.e1DOI: (10.1016/j.cgh.2013.03.022) Copyright © 2013 AGA Institute Terms and Conditions