IS WORK OVER?

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

Gastroenterologist

Where the time goes

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.

TaskShareAIPoints
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
Total100%22%

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

Skills and activities

  • do colonoscopies
  • gastroscopy
  • treat IBD
  • ERCP
  • GI clinic
  • hepatitis plans
  • GI bleed
  • read endoscopies

Sources for this job· O*NET 29-1216.00· ESCO/ISCO 2212

Data architect

Where the time goes

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.

TaskShareAIPoints
Models, lineage and the catalogue.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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