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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421