Adult Surviving Sepis Campaign Guidelines (Hour-1 Bundle) Children's Surviving Sepsis Campaign Guidelines
Adult ICU Liberation Guidelines and Bundle (A-F)
Management of Adults with COVID-19
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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. Host Margaret M. Parker, MD, MCCM, is joined by Melissa D. Aczon, PhD, to discuss how the RNN model can process hundreds of input variables contained in a patient’s EMR and integrate them dynamically as measurements become available.
Host Elizabeth Mack, MD, MS, FCCM, is joined by Michael Fundora, MD, FAAP, to discuss if the hypothesized frontline clinician workload, measured by bed occupancy and staffing, is associated with poor outcomes and unnecessary testing.
Host Margaret M. Parker, MD, MCCM is joined by Alon Geva, MD, MPH, to discuss how the implementation of eSIMPLER provided clinical decision support prompts with display of relevant data automatically pulled from the electronic health record and improved certain care processes.