SCCMPod-442 Continuous Prediction of Mortality in the PICU: A

iCritical Care: Pediatric Critical Care Medicine

SCCMPod-442 Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset

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Description

As a proof of concept, a recurrent neural network (RNN) model was developed using electronic medical record (EMR) data capable of continuously assessing a child's risk of mortality throughout an ICU stay as a proxy measure of illness severity.

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SCCMPod-447 eSIMPLER: A Dynamic, Electronic Health Record-Integrated Checklist

The increasing use of electronic health records (EHRs) has inspired the need for a more dynamic checklist. Geva et al conducted a before-after quality improvement study by replacing a static checklist with an updated dynamic checklist.

Published 10/28/21

SCCMPod-445 The Association of Workload and Outcomes in the Pediatric Cardiac ICU

Healthcare workload has emerged as an important metric associated with poor outcomes. To measure workload, studies have used bed occupancy as a surrogate. However, few studies have examined frontline clinician workload and outcomes.

Published 10/14/21

SCCM Pod-435 Intracranial and Cerebral Perfusion Pressure Thresholds Associated with In-Hospital Mortality Across Pediatric Neurocritical Care

Targets for treatment of raised intracranial pressure or decreased cerebral perfusion pressure in pediatric neurocritical care are not well defined.

Published 04/28/21