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?

24%

AI can already do 24% of this job.

#283 / 633

Radiation therapist

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Immobilise, tattoo and treat fraction by fraction. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Check images, shifts and call the physician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Side effects, the patient who cries and the wait. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Machine QA and alarms. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Today’s dose and not irradiating the wrong thing. Estimate No 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

IS WORK OVER?

31%

#33 / 633

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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