IS WORK OVER?

Automation index

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

A screening protocol comes earlier. Calling fit or not and facing the company do not.

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

Task comparison

Occupational physician

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
Screenings, protocols and the work history.
Estimate

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

18%52%+9.4
Fit notes, restrictions and PPE.
Estimate

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

16%40%+6.4
The hard case, the one who cannot, and the company pushing.
Estimate

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

18%18%+3.2
Risk surveillance, sick leave and return.
Estimate

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

16%28%+4.5
Inspectorate, mutual and coordination with H&S.
Estimate

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

16%22%+3.5
Medical secrecy and signing fit for work.
Estimate

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

16%14%+2.2
Total100%29%

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

Skills and activities

  • occupational screening
  • fit for work
  • health surveillance
  • work restrictions
  • return to work
  • occupational medicine
  • work history
  • medical secrecy

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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