Automation index
How much of a Phlebotomist’s job can AI already do?
A queue and a label come earlier. Finding the vein and not sticking twice do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Phlebotomist
18%
AI can already do 18% of this job.
#574 / 643
View rankingPhlebotomist
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 |
|---|---|---|---|
Bookings, labels and tubes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Puncture, draw and not haemolyse.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Calm children, fear and faints.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Spin, log and send to the lab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Waste, needlesticks and hygiene.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Not mixing up a patient or a tube.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Bookings, labels and tubes
- Puncture, draw and not haemolyse
- Calm children, fear and faints
- Spin, log and send to the lab
- Waste, needlesticks and hygiene
- Not mixing up a patient or a tube
- flebotomista
- extractora
- phlebotomist
Sources for this job· O*NET 31-9097.00· ESCO/ISCO 5329
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120