Big data combined with clinical insight: identification of patients at-risk for 30-day readmission t...
Big data combined with clinical insight: identification of patients at-risk for 30-day readmission to be included in prevention interventions
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Paterna: Ubiquity Press
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Language
English
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Paterna: Ubiquity Press
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Contents
Introduction: Increasingly, big-data electronic health record (EHR) warehouses are used for targeted readmission prevention programs (RPPs). However, the ability of EHR tools to accurately detect the "appropriate" patients for RPP according to personal and clinical characteristics (termed "care-sensitivity") is not known. We aimed to examine the ab...
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Big data combined with clinical insight: identification of patients at-risk for 30-day readmission to be included in prevention interventions
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TN_cdi_proquest_journals_3100916937
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3100916937
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ISSN
1568-4156
E-ISSN
1568-4156
DOI
10.5334/ijic.s2010
