Predicting and Responding to Clinical Deterioration in Hospitalized Patients by Using Artificial Intelligence: Protocol for a Mixed Methods, Stepped Wedge Study (Preprint)
Laura M. Holdsworth(Stanford University), Ron Li(Texas A&M University), Stacie Vilendrer(Stanford University), Lisa Shieh(Palo Alto University), Margaret Smith(Stanford University), Samantha M.R. Kling(Stanford University), Donn W. Garvert(Stanford Health Care), Nadia Safaeinili(Stanford University), Steven M. Asch(RAND Corporation), Marcy Winget(Stanford University)
Cited by 0
Related Papers
Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016
|Intensive Care Medicine|2017|6.8k
Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016
|Critical Care Medicine|2017|3.8k
Development and Initial Validation of the PEG, a Three-item Scale Assessing Pain Intensity and Interference
|Journal of General Internal Medicine|2009|783
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
|JMIR Medical Informatics|2016|538