Article

CURED (CU Risk Estimator for Discharge): Development and Internal Validation of a Machine Learning Tool for Safe Early Patient Discharge During Hospital Surge

2026-05-11

Abstract excerpt

<title>Abstract</title> <p> <italic>Introduction</italic> A large-scale combat operation (LSCO) returning 1,000 casualties a day for at least 100 days to the US homeland would rapidly saturate domestic hospital capacity and potentially trigger crisis standards of care (CSC). Early patient discharge (EPD), the deliberate identification and release of lower-acuity inpatients before their expected discharge, is am...

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Literature Corpus work: 6fb7171a-20b5-5f89-85a0-1cbc433a12e2
DOI: 10.21203/rs.3.rs-9502083/v1

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CURED (CU Risk Estimator for Discharge): Development and Internal Validation of a Machine Learning Tool for Safe Early Patient Discharge During Hospital SurgeDOI 10.21203/rs.3.rs-9502083/v1Read

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