IS WORK OVER?

Automation index

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

A first slice and a code come earlier. Putting the diagnosis the chemo depends on do not.

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

Task comparison

Pathologist

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
Grossing, embedding and the first trim.
Estimate

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

18%48%+8.6
Read stains, IHC and a template report.
Estimate

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

16%52%+8.3
The hard case, the second look and the frozen section.
Estimate

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

18%18%+3.2
Board, the surgeon on the phone and the margin.
Estimate

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

16%28%+4.5
Cytology, autopsy and the specimen that arrives late.
Estimate

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

16%22%+3.5
Signing the diagnosis and what the patient is playing for.
Estimate

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

16%14%+2.2
Total100%30%

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

Skills and activities

  • read biopsies
  • grossing
  • immunohistochemistry
  • frozen section
  • pathology report
  • cytology
  • surgical margins
  • autopsy

Sources for this job· O*NET 29-1222.00· ESCO/ISCO 2212

Office manager

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
Vendors, contracts and the inventory.
Estimate

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

18%48%+8.6
Facilities, the air-con and the one who is late.
Estimate

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

16%40%+6.4
Onboarding, keys and the desk.
Estimate

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

16%22%+3.5
Budget, the extra and not overspending.
Estimate

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

16%28%+4.5
Management, the surprise and not leaving the office dark.
Estimate

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

18%14%+2.5
That it works, and not running out of paper.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • office inventory
  • facilities
  • onboarding
  • vendor contracts
  • keys
  • desks
  • office budget
  • air-con

Sources for this job· O*NET 11-3012.00· ESCO/ISCO 1219

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