Automation index
How much of a Dialysis nurse’s job can AI already do?
A session protocol comes earlier. Needling the fistula and finishing the run do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dialysis nurse
21%
AI can already do 21% of this job.
#425 / 643
View rankingDialysis nurse
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Weigh, set ultrafiltration and the circuit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Needle the fistula, connect and watch the run.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Hypotension, cramps and the one who feels ill.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Educate, diet and the access that underperforms.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shifts, machines and cleaning the monitor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No clotting and signing the session.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- needle fistulas
- dialysis session
- ultrafiltration
- connect the machine
- dialysis education
- intradialytic hypotension
- vascular access
- clean the monitor
Sources for this job· O*NET 29-1141.00· ESCO/ISCO 2221
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324