Automation index

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

A session protocol comes earlier. Needling the fistula and finishing the run do not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#416 / 633

Dialysis nurse

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
Weigh, set ultrafiltration and the circuit. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Needle the fistula, connect and watch the run. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Hypotension, cramps and the one who feels ill. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Educate, diet and the access that underperforms. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Shifts, machines and cleaning the monitor. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
No clotting and signing the session. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		21%

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

IS WORK OVER?

25%

#230 / 633

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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