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

Tactical analyst

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
Video, tags and the report.
Estimate

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

18%48%+8.6
Opponent, patterns and the one who hides.
Estimate

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

16%40%+6.4
Preview, the dressing room and not drowning them.
Estimate

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

16%22%+3.5
Live, the tablet and the change.
Estimate

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

16%28%+4.5
The manager, the ego and not contradicting in public.
Estimate

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

18%14%+2.5
That it is used, and not being noise.
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

  • tag video
  • opponent patterns
  • preview
  • bench tablet
  • tactical reports
  • dressing room
  • changes
  • data noise

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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