IS WORK OVER?

Automation index

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

A session protocol comes earlier. Needling the fistula and finishing the run do not.

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

Task comparison

Dialysis nurse

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
Weigh, set ultrafiltration and the circuit.
Estimate

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

16%36%+5.8
Needle the fistula, connect and watch the run.
Estimate

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

22%10%+2.2
Hypotension, cramps and the one who feels ill.
Estimate

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

16%22%+3.5
Educate, diet and the access that underperforms.
Estimate

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

16%28%+4.5
Shifts, machines and cleaning the monitor.
Estimate

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

16%18%+2.9
No clotting and signing the session.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • needle fistulas
  • dialysis session
  • ultrafiltration
  • connect the machine
  • dialysis education
  • intradialytic hypotension
  • vascular access
  • clean the monitor

Sources for this job· O*NET 29-1141.00· ESCO/ISCO 2221

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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