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

IS WORK OVER?

22%

AI can already do 22% of this job.

#361 / 643

Palliative care doctor

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.

Task	Share	AI	Points
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
Total	100%		22%

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

IS WORK OVER?

24%

#262 / 643

Agile coach

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.

Task	Share	AI	Points
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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