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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedNguyen OK, Makam AN, Clark C
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison.
The purpose of this study was 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" model performance to a "first day" and 2 other validated models. It found that incorporating clinically granular EHR data from the full hospital stay modestly improves prediction of 30-day readmissions.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Makam AN, Clark C .
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison.
J Hosp Med 2016 Jul;11(7):473-80. doi: 10.1002/jhm.2568.
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Keywords: Electronic Health Records (EHRs), Hospital Readmissions, Hospitalization, Risk