IS WORK OVER?

Automation index

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

A photo of a lesion and a first differential come earlier. Biopsy, looking and saying it to the face do not.

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

Task comparison

Dermatologist

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
Review photos, history and a first differential.
Estimate

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

16%40%+6.4
Clinic, dermoscopy and biopsy.
Estimate

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

20%12%+2.4
Explain, treat and follow doubtful lesions.
Estimate

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

16%22%+3.5
Reports, prescriptions and pathology notes.
Estimate

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

16%32%+5.1
Minor surgery, cryotherapy and dressings.
Estimate

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

16%18%+2.9
Diary, team and not missing a melanoma.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Clinic, dermoscopy and biopsy
  • Explain, treat and follow doubtful lesions
  • Reports, prescriptions and pathology notes
  • Minor surgery, cryotherapy and dressings
  • Diary, team and not missing a melanoma
  • dermatologo

Sources for this job· O*NET 29-1213.00· ESCO/ISCO 2212

Hydraulic 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
Hydrology, flows and the floodplain model.
Estimate

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

18%48%+8.6
Field, section and what LiDAR misses.
Estimate

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

16%22%+3.5
Drainage works, pumps and the outfall.
Estimate

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

16%36%+5.8
Water permits and the river authority.
Estimate

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

16%28%+4.5
The flood, the village and the yes to the channel.
Estimate

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

18%14%+2.5
That it does not flood, and not trusting the model alone.
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

  • model floodplains
  • flows
  • drainage
  • channel works
  • water permits
  • pumps
  • channel sections
  • river authority

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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