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

Reliability engineer

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
Data, MTBF and the Pareto.
Estimate

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

18%48%+8.6
Failure, the cause and not patching twice.
Estimate

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

16%40%+6.4
Spare, the critical and not hiding it.
Estimate

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

16%22%+3.5
RCM, the plan and the one that is not done.
Estimate

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

16%28%+4.5
Production, the rush and not running the tired one.
Estimate

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

18%14%+2.5
That it does not drop at three, and not hiding the spare.
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

  • MTBF
  • Pareto
  • root causes
  • critical spares
  • RCM
  • failures
  • maintenance plans
  • not patch twice

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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