IS WORK OVER?

Automation index

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

Reading an ECG and a first report come earlier. Deciding on a catheter and talking to the family do not.

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

Task comparison

Cardiologist

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 ECG, echo and tests and write the report.
Estimate

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

16%48%+7.7
Clinic, auscultation and deciding the plan.
Estimate

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

18%18%+3.2
Procedures: catheter, pacemaker, cardioversion.
Estimate

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

18%12%+2.2
Explain risk, consent and follow-up.
Estimate

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

16%22%+3.5
On-call, consults and ward rounds.
Estimate

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

16%28%+4.5
Clinical meeting, team and owning the diagnosis.
Estimate

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

16%14%+2.2
Total100%23%

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

Skills and activities

  • Clinic, auscultation and deciding the plan
  • Explain risk, consent and follow-up
  • On-call, consults and ward rounds
  • cardiologo
  • cardiologist

Sources for this job· O*NET 29-1212.00· ESCO/ISCO 2212

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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