Predicting 30‐day return hospital admissions in patients with COVID‐19 discharged from the emergency department: A national retrospective cohort study

Predicting 30‐day return hospital admissions in patients with COVID‐19 discharged from the emergency department: A national retrospective cohort study

Abstract Objectives Identification of patients with coronavirus disease 2019 (COVID‐19) at risk for deterioration after discharge from the emergency department (ED) remains a clinical challenge. Our objective was to develop a prediction model that identifies patients with COVID‐19 at risk for return...

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Main Authors: David G. Beiser, Zachary J. Jarou, Alaa A. Kassir, Michael A. Puskarich, Marie C. Vrablik, Elizabeth D. Rosenman, Samuel A. McDonald, Andrew C. Meltzer, D. Mark Courtney, Christopher Kabrhel, Jeffrey A. Kline, the RECOVER Investigators
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Journal of the American College of Emergency Physicians Open
Subjects:
clinical prediction model
COVID‐19
discharge planning
emergency department
machine learning
prognosis
Online Access:https://doi.org/10.1002/emp2.12595
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https://doi.org/10.1002/emp2.12595

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