IS WORK OVER?

Automation index

How much of a Radiation therapist’s job can AI already do?

Guided set-up comes earlier. Immobilising every day and not missing the field do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Radiation therapist

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
Plan, IGRT and the day’s set-up.
Estimate

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

16%40%+6.4
Immobilise, tattoo and treat fraction by fraction.
Estimate

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

22%12%+2.6
Check images, shifts and call the physician.
Estimate

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

16%28%+4.5
Side effects, the patient who cries and the wait.
Estimate

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

16%22%+3.5
Machine QA and alarms.
Estimate

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

16%32%+5.1
Today’s dose and not irradiating the wrong thing.
Estimate

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

14%14%+2
Total100%24%

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

Skills and activities

  • set up for RT
  • IGRT
  • immobilise patients
  • deliver fractions
  • linac QA
  • reference tattoos
  • shifts
  • radiotherapy

Sources for this job· O*NET 29-1124.00· ESCO/ISCO 3211

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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