Automation index

How much of a Family doctor’s job can AI already do?

A protocol and a prescription come earlier. Seeing thirty in a morning and not missing a serious one 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.

#304 / 633

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

IS WORK OVER?

24%

#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