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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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