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

Reliability engineer

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
Data, MTBF and the Pareto.
Estimate

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

18%48%+8.6
Failure, the cause and not patching twice.
Estimate

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

16%40%+6.4
Spare, the critical and not hiding it.
Estimate

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

16%22%+3.5
RCM, the plan and the one that is not done.
Estimate

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

16%28%+4.5
Production, the rush and not running the tired one.
Estimate

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

18%14%+2.5
That it does not drop at three, and not hiding the spare.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • MTBF
  • Pareto
  • root causes
  • critical spares
  • RCM
  • failures
  • maintenance plans
  • not patch twice

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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