IS WORK OVER?

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

Sonographer

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.

TaskShareAIPoints
Protocols, IDs and worklists.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Scan, measure and capture slices.
Estimate

No public source provides a precise figure. This is our estimate.

22%12%+2.6
Calm, explain and not jump a diagnosis.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Brief the radiologist and archive the study.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Probes, gel and kit maintenance.
Estimate

No public source provides a precise figure. This is our estimate.

16%16%+2.6
Pregnancy, bad news and shoulder ergonomics.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%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

Last-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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

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