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

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

Analyse my job

Jobs with similar scores

  1. 62Labour consultant29%
  2. 63Quality engineer29%
  3. 64ML engineer29%
  4. 66Career counsellor29%
  5. 67Construction laborer29%
  6. 68Insurance claims adjuster29%