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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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