IS WORK OVER?

Automation index

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

A retinal photo and a first report come earlier. Operating a lens and not touching the macula do not.

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

Task comparison

Ophthalmologist

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 retinal photos, fields and pachymetry.
Estimate

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

16%48%+7.7
Clinic, slit lamp and fundus.
Estimate

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

18%12%+2.2
Cataract, retina and eyelid surgery.
Estimate

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

18%10%+1.8
Explain refraction, risk and aftercare.
Estimate

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

16%22%+3.5
Reports, prescriptions and notes for the optician.
Estimate

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

16%28%+4.5
Diary, theatre and not missing a detachment.
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

  • Read retinal photos, fields and pachymetry
  • Clinic, slit lamp and fundus
  • Cataract, retina and eyelid surgery
  • Explain refraction, risk and aftercare
  • oftalmologo
  • ophthalmologist
  • oculista

Sources for this job· O*NET 29-1241.00· ESCO/ISCO 2212

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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