Automation index
How much of a Anaesthetist’s job can AI already do?
An anaesthetic plan and a consent form come earlier. Putting someone under and bringing them back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Anaesthetist
21%
AI can already do 21% of this job.
#406 / 633
View rankingAnaesthetist
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 |
|---|---|---|---|
Assess pre-op, allergies and the anaesthetic plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Induce, maintain and wake in theatre.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Watch vitals, lines and acute pain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Brief the patient and sign the consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Notes, consults and coordination with the surgeon.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
On-call, resuscitation and liability for the act.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Induce, maintain and wake in theatre
- Watch vitals, lines and acute pain
- Brief the patient and sign the consent
- anestesista
- anestesiologo
- anesthesiologist
- anaesthetist
Sources for this job· O*NET 29-1211.00· ESCO/ISCO 2212
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.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
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511