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?
Blood bank technician
28%
AI can already do 28% of this job.
#120 / 623
View rankingBlood bank technician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Group, screen and the bag crossmatch.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Fractionate, label and traceability.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The emergency, the massive and the ID error.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Donation, apheresis and the donor who feels unwell.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Stock, expiry and what theatre asks for.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The right bag and owning the blood group.EstimateNo 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
Skills and activities
- crossmatch blood
- blood group
- fractionate products
- donor apheresis
- bag traceability
- massive transfusion
- label units
- blood bank
Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212
IS WORK OVER?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
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.
| Task | Share | AI | Points |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo 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
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421