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

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
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

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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