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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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