Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing
Katharine E. Henry, Roy J. Adams, Cassandra Parent, Hossein Soleimani, Anirudh Sridharan, Lauren Johnson, David N. Hager, Sara E. Cosgrove, Andrew Markowski, Eili Klein, Edward S. Chen, Mustapha Saheed, Maureen Henley, Sheila Miranda, Katrina Houston, Robert C. Linton, Anushree R. Ahluwalia, Albert W. Wu, Suchi Saria
Topics & Concepts
SepsisMedicineEarly warning scoreWarning systemEmergency departmentEmergency medicineMedical emergencyPresentation (obstetrics)Health careClinical decision support systemIntensive care medicineDecision support systemInternal medicineComputer scienceNursingArtificial intelligenceSurgeryTelecommunicationsEconomicsEconomic growthSepsis Diagnosis and TreatmentMachine Learning in HealthcareClinical Reasoning and Diagnostic Skills