IS WORK OVER?

Automation index

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

A Barthel index comes earlier. Deciding not to over-treat and talking to the daughter do not.

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

Task comparison

Geriatrician

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
Geriatric assessment, Barthel and polypharmacy.
Estimate

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

16%40%+6.4
Clinic, falls and ward delirium.
Estimate

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

18%18%+3.2
Deprescribe, adjust doses and swallowing trouble.
Estimate

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

16%28%+4.5
Family, the home and the end of life.
Estimate

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

18%14%+2.5
Consult, orthogeriatrics and the hard discharge.
Estimate

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

16%22%+3.5
The call not to over-treat and signing the plan.
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

  • geriatric assessment
  • deprescribing
  • treat falls
  • polypharmacy
  • delirium
  • Barthel
  • end of life
  • orthogeriatrics

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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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