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?
Epidemiologist
31%
#34 / 623
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263