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

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
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

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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