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.
#518 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351