Automation index

How much of a Blood bank technician’s job can AI already do?

An automated crossmatch comes earlier. Confirming the group and not issuing the wrong bag do not.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#120 / 623

Blood bank 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
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
Total	100%		28%

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

IS WORK OVER?

24%

#273 / 623

Internist

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
Cross labs, imaging and a differential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Ward round, examination and decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain to family and ceilings of care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Discharge reports, consults and boards. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Medical on-call and difficult patients. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Team, residents and not fragmenting the patient. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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