Automation index
How much of a Dosimetrist’s job can AI already do?
A dose plan comes earlier. The tumour getting it and the healthy organ not, for real, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dosimetrist
22%
AI can already do 22% of this job.
#336 / 643
View rankingDosimetrist
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 |
|---|---|---|---|
CT, contours and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Organ at risk, the curve and not overshooting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Physics, the check and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Fraction, the setup and the patient who is not the same.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The oncologist, the trade-off and not signing blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The tumour gets it, and the healthy organ does not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- dose plans
- contours
- organs at risk
- dosimetry check
- fractions
- setup
- sim CT
- DVH curves
Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211
IS WORK OVER?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421