Automation index
How much of a Sonographer’s job can AI already do?
A slice protocol comes earlier. Finding the fetus and not saying too much do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Sonographer
20%
AI can already do 20% of this job.
#479 / 643
View rankingSonographer
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 |
|---|---|---|---|
Protocols, IDs and worklists.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scan, measure and capture slices.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Calm, explain and not jump a diagnosis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Brief the radiologist and archive the study.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Probes, gel and kit maintenance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Pregnancy, bad news and shoulder ergonomics.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Protocols, IDs and worklists
- Scan, measure and capture slices
- Calm, explain and not jump a diagnosis
- Probes, gel and kit maintenance
- tecnico en ecografia
- ecografista
- sonographer
Sources for this job· O*NET 29-2032.00· ESCO/ISCO 3211
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