Automation index

How much of a Biomedical equipment technician’s job can AI already do?

A calibration ticket comes earlier. The ventilator working at three in the morning do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#595 / 693

Biomedical equipment technician

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.

Task	Share	AI	Points
Ticket, the inventory and the calibration. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
ICU, the ventilator and not switching off the one that is ventilating. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Theatre, the stack and the one that fails at induction. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Part, the spare and the one that does not arrive. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The clinician, the rush and not leaving the kit half done. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it works at three, and signing the calibration. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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

IS WORK OVER?

27%

#207 / 693

University tutor

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.

Task	Share	AI	Points
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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