Automation index
How much of a Oncologist’s job can AI already do?
A tumour board and a protocol come earlier. Saying a prognosis and holding the treatment do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Oncologist
22%
AI can already do 22% of this job.
#359 / 633
View rankingOncologist
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 pathology, imaging and regimen protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, bad news and ceiling-of-care decisions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Prescribe, watch toxicity and adjust cycles.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Reports, consents and tumour board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Coordinate surgery, radio and palliative care.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
On-call, team and not abandoning the patient.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Reports, consents and tumour board
- oncologo
- oncologist
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
IS WORK OVER?
Epidemiologist
31%
#34 / 633
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