Automation index

How much of a Radiation oncologist’s job can AI already do?

Assisted contouring comes earlier. Setting the field and not burning healthy tissue do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#311 / 623

Radiation oncologist

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
Contouring, fractions and the dose plan. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Clinic, the tumour and what can be irradiated. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Simulation, immobilisation and the machine day. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Side effects, pauses and the patient who cannot take it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Board, the surgeon and the medical oncologist. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Signing the plan and the dose that does not erase. Estimate No 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

IS WORK OVER?

23%

#304 / 623

Family doctor

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 history, labs and primary-care protocols. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, examination and home visits. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Explain, refer and hold uncertainty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Prescriptions, notes and sick-leave reports. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
List, nursing team and the health centre. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Primary-care emergencies and not missing a heart attack. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low