Automation index

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

A colonoscopy report comes earlier. Putting the scope in and not perforating do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#352 / 633

Gastroenterologist

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 endoscopies, labs and the transit study. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Colonoscopy, gastroscopy and ERCP. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
IBD, hepatitis and reflux plans. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Abdomen clinic, occult blood and the fear of cancer. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
GI emergencies and the bleed that does not stop. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Consent, perforation and signing the procedure. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		22%

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

IS WORK OVER?

25%

#230 / 633

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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