Automation index
How much of a Infectious disease physician’s job can AI already do?
An antibiogram comes earlier. Picking the antibiotic and not breeding resistance do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Infectious disease physician
23%
AI can already do 23% of this job.
#332 / 733
View rankingInfectious disease physician
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 cultures, PCR and the antibiogram.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Consult, the febrile patient and the one who does not respond.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Antibiotic plan, HIV and tropical disease.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Stewardship, resistance and the hospital protocol.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Isolation, public health and the ward outbreak.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
On-call and signing the last-resort drug.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
- antibiogram
- prescribe antibiotics
- stewardship
- treat HIV
- ID consult
- isolation
- pathogen PCR
- resistance
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
IS WORK OVER?
Reliability engineer
27%
#175 / 733
View rankingReliability engineer
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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141