Automation index
How much of a Osteopath’s job can AI already do?
A history and a test come earlier. A manipulation, and not overdoing it, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Osteopath
20%
AI can already do 20% of this job.
#469 / 643
View rankingOsteopath
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 |
|---|---|---|---|
History, tests and a first plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Manipulation, mobilisation and visceral work.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Explain, dose and refer if there is a red flag.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Clinical notes and progress.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Room, hygiene and informed consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
The practitioner’s body and not doing harm.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- History, tests and a first plan
- Clinical notes and progress
- Room, hygiene and informed consent
- The practitioner’s body and not doing harm
- osteopata
- osteopath
Sources for this job· O*NET 29-1299.00· ESCO/ISCO 2269
IS WORK OVER?
Epidemiologist
31%
#34 / 643
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