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?
BI analyst
34%
#18 / 623
View rankingBI 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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511