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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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