IS WORK OVER?

Automation index

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

A checklist and a count come earlier. Scrubbing and not missing a swab do not.

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

Task comparison

Operating room 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
Set the table, checklist and the patient card.
Estimate

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

16%36%+5.8
Scrub, anticipate and not break the field.
Estimate

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

22%8%+1.8
Count swabs, needles and the record.
Estimate

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

16%22%+3.5
Circulate, stocks and the turnaround.
Estimate

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

16%28%+4.5
Emergency, the bleeder and the table change.
Estimate

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

16%18%+2.9
Nothing left inside and signing the count.
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

  • scrub
  • surgical checklist
  • swab count
  • set the table
  • circulate
  • sterile field
  • theatre
  • anticipate the surgeon

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

Route planner

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
Optimise, windows and capacity.
Estimate

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

18%52%+9.4
Restrictions, tolls and the right vehicle.
Estimate

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

16%40%+6.4
The salesperson who promises and the plan that will not.
Estimate

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

16%22%+3.5
Recalc, incidents and the next day.
Estimate

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

16%28%+4.5
The warehouse, the cut-off and not leaving the last one.
Estimate

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

18%14%+2.5
That it fits, and not blowing the hours.
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

  • optimise routes
  • delivery windows
  • tolls
  • vehicle capacity
  • recalc
  • traffic restrictions
  • warehouse cut-off
  • driving hours

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 4323

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