Comparison of sepsis-related in-hospital mortality rate, hospital length of stay and 30-day readmission rate before and after implementation of the machine learning algorithm. The first, second and steady-state periods all occurred post-implementation.
| Baseline (Nov–Jan) n=407 | First period (Feb–Mar) n=336 | Per cent reduction | Second period (Mar–Apr) n=381 | Per cent reduction | Steady state (Apr–May) n=204 | Per cent reduction | |
| Mortality rate | 7.37% | 2.68% | 63.6 | 3.15% | 57.3 | 2.94% | 74.90 |
| Length of stay | 3.35 days | 3.19 days | 4.8 | 2.94 days | 12.2 | 2.92 days | 8.66 |
| Readmission rate | 46.19% | 29.8% | 35.5 | 25.2% | 45.4 | 7.84% | 73.93 |
The per cent reduction values are all relative to the pre-implementation (baseline) period (n=1328).