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

Blood bank 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
Group, screen and the bag crossmatch.
Estimate

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

18%52%+9.4
Fractionate, label and traceability.
Estimate

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

16%40%+6.4
The emergency, the massive and the ID error.
Estimate

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

18%14%+2.5
Donation, apheresis and the donor who feels unwell.
Estimate

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

16%28%+4.5
Stock, expiry and what theatre asks for.
Estimate

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

16%22%+3.5
The right bag and owning the blood group.
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

  • crossmatch blood
  • blood group
  • fractionate products
  • donor apheresis
  • bag traceability
  • massive transfusion
  • label units
  • blood bank

Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212

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