Escobar Advance Alert Monitor

Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

Paciente / Población Intervención / Exposición Comparación Desenlace

In 43,949 non-ICU hospitalisations (35,669 patients) reaching the alert threshold at 19 hospitals, automated real-time deterioration alerts reviewed by remote monitoring nurses and escalated to rapid-response teams reduced 30-day mortality after an alert compared with usual care at hospitals where the system had not yet been deployed.

N
43.949
Diseño
Staggered deployment, non-randomised (19 hospitals)
Desenlace
Mortality within 30 days after an alert
Relevancia
3
Resultado30-day mortality after an alert lower in the intervention cohort (adjusted RR 0.84, 95% CI 0.78–0.90; P<0.001); 15,487 intervention vs 28,462 comparison hospitalisations, drawn from 548,838 non-ICU hospitalisations.
Escobar GJ, et al. N Engl J Med. 2020;383(20):1951-1960. 10.1056/NEJMsa2001090
Discusión y crítica

The first large-scale report that an automated, EHR-based deterioration model wired into a clinical workflow — remote nurse review plus rapid-response teams across Kaiser Permanente hospitals — was associated with lower mortality, and the template for later randomised tests such as CONCERN. Deployment was staggered but not randomised, so the comparison with not-yet-deployed hospitals rests on multivariable adjustment and is vulnerable to secular trends and site differences.