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Dataset Information

Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS.


ABSTRACT:

Background

Emergency department boarding and hospital exit block are primary causes of emergency department crowding and have been conclusively associated with poor patient outcomes and major threats to patient safety. Boarding occurs when a patient is delayed or blocked from transitioning out of the emergency department because of dysfunctional transition or bed assignment processes. Predictive models for estimating the probability of an occurrence of this type could be useful in reducing or preventing emergency department boarding and hospital exit block, to reduce emergency department crowding.

Objective

The aim of this study was to identify and appraise the predictive performance, predictor utility, model application, and model utility of hospital admission prediction mo

SUBMITTER: Monahan AC 

PROVIDER: S-EPMC8485197 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature