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?

23%

#304 / 623

Family doctor

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
Read history, labs and primary-care protocols. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, examination and home visits. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Explain, refer and hold uncertainty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Prescriptions, notes and sick-leave reports. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
List, nursing team and the health centre. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Primary-care emergencies and not missing a heart attack. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		23%

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