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?
Data architect
28%
#83 / 623
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