IS WORK OVER?

Automation index

How much of a Palliative care doctor’s job can AI already do?

A pain scale comes earlier. Being in the room when curative treatment stops do not.

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

Task comparison

Palliative care doctor

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
Pain, the scale and the rescue dose.
Estimate

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

16%40%+6.4
The room, the family and the one who will not hear.
Estimate

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

18%14%+2.5
Symptom, the route and not over-sedating.
Estimate

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

16%28%+4.5
The team, the home discharge and the weekend.
Estimate

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

16%22%+3.5
The oncologist, the limit and not walking away.
Estimate

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

18%18%+3.2
Be there, and not leaving the end alone.
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

  • pain scales
  • opioid rescue
  • palliative sedation
  • home discharge
  • refractory symptoms
  • grieving family
  • subcutaneous route
  • end of life

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

Statistician

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
Model, clean and visualise.
Estimate

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

20%48%+9.6
Design sample, experiment and biases.
Estimate

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

16%32%+5.1
Client, questions and not overfitting.
Estimate

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

16%22%+3.5
Reproducibility, code and documentation.
Estimate

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

16%18%+2.9
Publication, review and data ethics.
Estimate

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

16%16%+2.6
Not selling a p-value that does not hold.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • Model, clean and visualise
  • Design sample, experiment and biases
  • Client, questions and not overfitting
  • Reproducibility, code and documentation
  • Publication, review and data ethics
  • Not selling a p-value that does not hold
  • estadistico
  • statistician

Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120

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