Automation index

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

A model and a mapped outbreak come earlier. Calling the measure and getting people to follow it do not.

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

Task comparison

IS WORK OVER?

31%

AI can already do 31% of this job.

#34 / 643

Epidemiologist

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
Surveillance, rates and the outbreak on the map. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Studies, bias and the report for public health. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Surveys, contacts and the case interview. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Committee, the unpopular measure and the press. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Field, the care-home outbreak and dirty data. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Judgement, uncertainty and signing the alert. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		31%

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

IS WORK OVER?

22%

#336 / 643

Dosimetrist

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Organ at risk, the curve and not overshooting. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Physics, the check and the one that does not fit. Estimate No 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. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The oncologist, the trade-off and not signing blind. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The tumour gets it, and the healthy organ does not. Estimate No 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