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

Histology technician

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, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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