Automation index
How much of a Occupational physician’s job can AI already do?
A screening protocol comes earlier. Calling fit or not and facing the company do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Occupational physician
29%
AI can already do 29% of this job.
#65 / 623
View rankingOccupational 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 |
|---|---|---|---|
Screenings, protocols and the work history.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Fit notes, restrictions and PPE.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The hard case, the one who cannot, and the company pushing.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Risk surveillance, sick leave and return.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inspectorate, mutual and coordination with H&S.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Medical secrecy and signing fit for work.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- occupational screening
- fit for work
- health surveillance
- work restrictions
- return to work
- occupational medicine
- work history
- medical secrecy
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
IS WORK OVER?
Last-mile manager
26%
#211 / 623
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