IS WORK OVER?

Automation index

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

A tumour board and a protocol come earlier. Saying a prognosis and holding the treatment do not.

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

Task comparison

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
Read pathology, imaging and regimen protocols.
Estimate

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

16%40%+6.4
Clinic, bad news and ceiling-of-care decisions.
Estimate

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

18%14%+2.5
Prescribe, watch toxicity and adjust cycles.
Estimate

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

18%12%+2.2
Reports, consents and tumour board.
Estimate

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

16%28%+4.5
Coordinate surgery, radio and palliative care.
Estimate

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

16%22%+3.5
On-call, team and not abandoning the patient.
Estimate

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

16%16%+2.6
Total100%22%

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

Skills and activities

  • Reports, consents and tumour board
  • oncologo
  • oncologist

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

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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