Automation index
How much of a Rheumatologist’s job can AI already do?
A serology and a DAS28 come earlier. Starting the biologic and not leaving the patient stiff do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Rheumatologist
23%
AI can already do 23% of this job.
#317 / 643
View rankingRheumatologist
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 serologies, rheumatoid factor and imaging.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Examine joints and call the flare.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Biologics, steroids and methotrexate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inject, educate and watch side effects.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
A long clinic, pain you cannot see, and the wait.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Board, pharmacy and owning the immunosuppressant.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- treat arthritis
- prescribe biologics
- examine joints
- inject joints
- read serologies
- DAS28
- rheumatology clinic
- methotrexate
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
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