IS WORK OVER?

Automation index

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

A history and a test come earlier. A manipulation, and not overdoing it, do not.

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

Task comparison

Osteopath

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
History, tests and a first plan.
Estimate

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

16%32%+5.1
Manipulation, mobilisation and visceral work.
Estimate

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

22%10%+2.2
Explain, dose and refer if there is a red flag.
Estimate

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

16%22%+3.5
Clinical notes and progress.
Estimate

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

16%28%+4.5
Room, hygiene and informed consent.
Estimate

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

16%16%+2.6
The practitioner’s body and not doing harm.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • History, tests and a first plan
  • Clinical notes and progress
  • Room, hygiene and informed consent
  • The practitioner’s body and not doing harm
  • osteopata
  • osteopath

Sources for this job· O*NET 29-1299.00· ESCO/ISCO 2269

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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