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.
#303 / 643
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?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131