Automation index
How much of a Orthopaedic surgeon’s job can AI already do?
An X-ray and a note come earlier. Reducing a fracture and calling theatre do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Orthopaedic surgeon
21%
AI can already do 21% of this job.
#449 / 643
View rankingOrthopaedic surgeon
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 films, CT and a first surgical plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Reduce, immobilise and run trauma clinic.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 10% | +2 |
Theatre: prosthesis, fixation, arthroscopy.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Explain, consent and follow rehab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Notes, consults and rounds.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
On-call, polytrauma and liability for the act.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Read films, CT and a first surgical plan
- Reduce, immobilise and run trauma clinic
- Theatre: prosthesis, fixation, arthroscopy
- Explain, consent and follow rehab
- Notes, consults and rounds
- traumatologo
Sources for this job· O*NET 29-1242.00· ESCO/ISCO 2212
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324