Automation index
How much of a Emergency physician’s job can AI already do?
Triage and a protocol come earlier. Deciding in five minutes and telling the family do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Emergency physician
20%
AI can already do 20% of this job.
#456 / 633
View rankingEmergency physician
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 |
|---|---|---|---|
Read vitals, ECG and shock protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Assess, stabilise and prioritise beds.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Procedures: line, suture, CPR.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Brief family and negotiate doubtful discharges.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Notes, consults and ward admissions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shift, team and not leaving anyone in the corridor.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Read vitals, ECG and shock protocols
- Assess, stabilise and prioritise beds
- Procedures: line, suture, CPR
- Notes, consults and ward admissions
- medico de urgencias
- urgentologo
Sources for this job· O*NET 29-1214.00· ESCO/ISCO 2212
IS WORK OVER?
Data engineer
31%
#36 / 633
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511