Automation index
How much of a Dermatologist’s job can AI already do?
A photo of a lesion and a first differential come earlier. Biopsy, looking and saying it to the face do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dermatologist
23%
AI can already do 23% of this job.
#293 / 633
View rankingDermatologist
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 |
|---|---|---|---|
Review photos, history and a first differential.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, dermoscopy and biopsy.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Explain, treat and follow doubtful lesions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports, prescriptions and pathology notes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Minor surgery, cryotherapy and dressings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Diary, team and not missing a melanoma.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clinic, dermoscopy and biopsy
- Explain, treat and follow doubtful lesions
- Reports, prescriptions and pathology notes
- Minor surgery, cryotherapy and dressings
- Diary, team and not missing a melanoma
- dermatologo
Sources for this job· O*NET 29-1213.00· ESCO/ISCO 2212
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324