Automation index

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

A serology and a DAS28 come earlier. Starting the biologic and not leaving the patient stiff 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.

#312 / 633

Rheumatologist

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 serologies, rheumatoid factor and imaging. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Examine joints and call the flare. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Biologics, steroids and methotrexate. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Inject, educate and watch side effects. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
A long clinic, pain you cannot see, and the wait. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Board, pharmacy and owning the immunosuppressant. 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?

24%

#273 / 633

Internist

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
Cross labs, imaging and a differential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Ward round, examination and decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain to family and ceilings of care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Discharge reports, consults and boards. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Medical on-call and difficult patients. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Team, residents and not fragmenting the patient. Estimate No 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