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

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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