IS WORK OVER?

Automation index

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

A vitals log comes earlier. Catching the change and calling in time do not.

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

Task comparison

ICU 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
Charts, pumps and the bed plan.
Estimate

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

16%36%+5.8
Lines, ventilator and the patient who crashes.
Estimate

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

22%8%+1.8
Hygiene, turning and preventing sores.
Estimate

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

16%22%+3.5
Family at the bed and the news.
Estimate

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

16%28%+4.5
On-call, admissions and handover.
Estimate

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

16%18%+2.9
Catch the change and owning the bed.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • ICU care
  • run the ventilator
  • central lines
  • chart vitals
  • prevent sores
  • ICU handover
  • infusion pumps
  • call the intensivist

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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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