Deterioration & sepsis alerts
4 trials- 2025CONCERNGeneral deteriorationIn 60,893 hospital encounters on 74 clinical units, a machine-learning early warning system reading nursing documentation reduced in-hospital mortality and length of stay compared with usual care.
- 2025SCREENSepsis alertsIn 60,055 patients admitted to hospital wards, an electronic qSOFA-based sepsis alert reduced 90-day in-hospital mortality compared with no screening (alert in silent mode).
- 2022TREWSSepsis alertsIn 6,877 patients with sepsis flagged before antibiotics, provider confirmation of the machine-learning sepsis alert within 3 h reduced in-hospital mortality compared with alerts not confirmed by a provider within 3 h.
- 2020Escobar Advance Alert MonitorGeneral deteriorationIn 43,949 non-ICU hospitalisations reaching the alert threshold, automated deterioration alerts reviewed by remote nurses and escalated reduced 30-day mortality after an alert compared with usual care where the system was not yet deployed.