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.
#298 / 623
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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514