Automation index
How much of a Gastroenterologist’s job can AI already do?
A colonoscopy report comes earlier. Putting the scope in and not perforating do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Gastroenterologist
22%
AI can already do 22% of this job.
#352 / 633
View rankingGastroenterologist
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 endoscopies, labs and the transit study.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Colonoscopy, gastroscopy and ERCP.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
IBD, hepatitis and reflux plans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Abdomen clinic, occult blood and the fear of cancer.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
GI emergencies and the bleed that does not stop.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Consent, perforation and signing the procedure.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- do colonoscopies
- gastroscopy
- treat IBD
- ERCP
- GI clinic
- hepatitis plans
- GI bleed
- read endoscopies
Sources for this job· O*NET 29-1216.00· ESCO/ISCO 2212
IS WORK OVER?
Mobile developer
28%
#92 / 633
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