Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial*
Levin M, Kia A, Timsina P, Cheng F, Nguyen K, Kohli-Seth R, Lin H, Ouyang Y, Freeman R, Reich D. Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial*. Critical Care Medicine 2024, 52: 1007-1020. PMID: 38380992, DOI: 10.1097/ccm.0000000000006243.Peer-Reviewed Original ResearchConceptsIntervention groupPatient bed-daysBed daysRelative riskAdjusted incidence rate ratiosMedical-surgical unitsAssignment to interventionFront-line providersAdjusted relative risksIncidence rate ratiosIn-HospitalMedication ordersAdjusted RRClinical careRate ratiosStabilized inverse probabilityControl armPropensity score modelSecondary outcomesPrimary outcomePredicting clinical deteriorationActivation criteriaProspective dataLikelihood of deteriorationProvider discretion
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