IS WORK OVER?

Automation index

How much of a Nuclear medicine physician’s job can AI already do?

A PET and a stock report come earlier. Dosing the isotope and reading the patient do not.

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

Task comparison

Nuclear medicine physician

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
PET, SPECT protocols and a stock report.
Estimate

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

18%52%+9.4
Order dose, timing and preparation.
Estimate

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

16%28%+4.5
Give the isotope and watch the reaction.
Estimate

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

18%14%+2.5
Clinic, the cancer that returns and the family.
Estimate

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

16%22%+3.5
Quality, waste and radiation protection.
Estimate

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

16%32%+5.1
Signing the study and the dose you cannot repeat.
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

  • report PET
  • SPECT
  • dose isotopes
  • nuclear medicine
  • radiation protection
  • PET protocols
  • give radiopharmaceuticals
  • nuclear oncology clinic

Sources for this job· O*NET 29-1224.00· ESCO/ISCO 2212

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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