Automation index
How much of a Palliative care doctor’s job can AI already do?
A pain scale comes earlier. Being in the room when curative treatment stops do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Palliative care doctor
22%
AI can already do 22% of this job.
#361 / 643
View rankingPalliative care doctor
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 |
|---|---|---|---|
Pain, the scale and the rescue dose.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The room, the family and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Symptom, the route and not over-sedating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The team, the home discharge and the weekend.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The oncologist, the limit and not walking away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Be there, and not leaving the end alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- pain scales
- opioid rescue
- palliative sedation
- home discharge
- refractory symptoms
- grieving family
- subcutaneous route
- end of life
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