IS WORK OVER?

Automation index

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

Assisted contouring comes earlier. Setting the field and not burning healthy tissue do not.

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

Task comparison

Radiation oncologist

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
Contouring, fractions and the dose plan.
Estimate

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

16%48%+7.7
Clinic, the tumour and what can be irradiated.
Estimate

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

18%18%+3.2
Simulation, immobilisation and the machine day.
Estimate

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

16%22%+3.5
Side effects, pauses and the patient who cannot take it.
Estimate

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

16%28%+4.5
Board, the surgeon and the medical oncologist.
Estimate

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

18%14%+2.5
Signing the plan and the dose that does not erase.
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

  • contouring
  • plan radiotherapy
  • dosimetry
  • RT simulation
  • fractions
  • tumour board
  • radiation effects
  • immobilise the patient

Sources for this job· O*NET 29-1224.00· ESCO/ISCO 2212

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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