Automation index
How much of a Internist’s job can AI already do?
A differential and a first plan come earlier. Seeing the whole complex patient does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Internist
24%
AI can already do 24% of this job.
#273 / 633
View rankingInternist
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 |
|---|---|---|---|
Cross labs, imaging and a differential.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Ward round, examination and decisions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Explain to family and ceilings of care.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Discharge reports, consults and boards.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Medical on-call and difficult patients.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Team, residents and not fragmenting the patient.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Cross labs, imaging and a differential
- Ward round, examination and decisions
- Explain to family and ceilings of care
- Discharge reports, consults and boards
- Medical on-call and difficult patients
- internista
Sources for this job· O*NET 29-1216.00· 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