Automation index
How much of a Radiation therapist’s job can AI already do?
Guided set-up comes earlier. Immobilising every day and not missing the field do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Radiation therapist
24%
AI can already do 24% of this job.
#283 / 633
View rankingRadiation therapist
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 |
|---|---|---|---|
Plan, IGRT and the day’s set-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Immobilise, tattoo and treat fraction by fraction.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Check images, shifts and call the physician.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Side effects, the patient who cries and the wait.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Machine QA and alarms.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Today’s dose and not irradiating the wrong thing.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- set up for RT
- IGRT
- immobilise patients
- deliver fractions
- linac QA
- reference tattoos
- shifts
- radiotherapy
Sources for this job· O*NET 29-1124.00· ESCO/ISCO 3211
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