Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission...
Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission Risk Score
About this item
Full title
Author / Creator
Publisher
United States: Lippincott Williams & Wilkins
Journal title
Language
English
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Publication information
Publisher
United States: Lippincott Williams & Wilkins
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Scope and Contents
Contents
BACKGROUND:Identifying patients at high risk for readmission early during hospitalization may aid efforts in reducing readmissions. We sought to develop an early readmission risk predictive model using automated clinical data available at hospital admission.
METHODS:We developed an early readmission risk model using a derivation cohort and valid...
Alternative Titles
Full title
Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission Risk Score
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5318151
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5318151
Other Identifiers
ISSN
0025-7079
E-ISSN
1537-1948
DOI
10.1097/MLR.0000000000000654
