Automation index
How much of a Hospital porter’s job can AI already do?
A transfer ping comes earlier. Moving someone on drips and not dropping them does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hospital porter
16%
AI can already do 16% of this job.
#611 / 643
View rankingHospital porter
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 |
|---|---|---|---|
Alerts, destinations and transfer notes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Trolleys, chairs and moving patients.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Theatre, mortuary and hospital stores.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Dealing with families, discharges and waits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Support nursing and bay safety.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Shifts, physical load and not hurting your back.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Alerts, destinations and transfer notes
- Trolleys, chairs and moving patients
- Theatre, mortuary and hospital stores
- Support nursing and bay safety
- celador
- camillero
- hospital porter
Sources for this job· O*NET 31-1132.00· ESCO/ISCO 5329
IS WORK OVER?
Oceanographer
22%
#366 / 643
View rankingOceanographer
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 |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114