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

Public health 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
Surveillance, the indicator and the alert.
Estimate

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

16%40%+6.4
Outbreak, the questionnaire and the one who will not answer.
Estimate

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

18%14%+2.5
Field, the source and shutting the premises.
Estimate

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

16%28%+4.5
Report, the mayor and not softening the figure.
Estimate

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

16%22%+3.5
Vaccination, coverage and the rumour.
Estimate

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

18%18%+3.2
Cut the outbreak, and not softening it.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • epi surveillance
  • outbreaks
  • field questionnaires
  • shut premises
  • vaccine coverage
  • public-health alerts
  • mayors
  • not soften figures

Sources for this job· O*NET 21-1091.00· ESCO/ISCO 2263

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