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

Tram driver

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
Checks, log and the cab.
Estimate

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

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

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

24%8%+1.9
Badly parked car, calls and Control.
Estimate

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

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

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

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

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

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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