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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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