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?
BI analyst
34%
#18 / 643
View rankingBI analyst
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 data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511