ICU sedation, delirium & recovery
The implementation of a real time early warning system using machine learning in an Australian hospital to improve patient outcomes
Main finding · MAEResult — go to the resultRelative risk 0.81 95% CI 0.74–0.89Authors' conclusion
Implementing the DI in one hospital in Australia was associated with some improved patient outcomes.
Study context
- Population
- Adult inpatients (≥16 years, admitted ≥24 hours) in general non-palliative wards, one Australian hospital
- Participants
- 28,639 inpatients
- Comparison
- Deterioration Index (DI) plus BTF vs BTF only
- Outcome
- MAE (all-cause mortality, ICU admission or medical emergency team activation)
Methodological detailssingle hospital
- Single hospital
Main finding
MAE
Relative risk
0.81
95% CI 0.74–0.89
Intervention vs Control
RR 0.81 (95% CI 0.74–0.89)
As reported in the abstract
Further findings
Length of hospital stay
P = 0.002
Original publication
The implementation of a real time early warning system using machine learning in an Australian hospital to improve patient outcomes. Resuscitation. Published 5 May 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →