IS WORK OVER?

Automation index

How much of a Phlebotomist’s job can AI already do?

A queue and a label come earlier. Finding the vein and not sticking twice do not.

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

Task comparison

Phlebotomist

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
Bookings, labels and tubes.
Estimate

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

16%32%+5.1
Puncture, draw and not haemolyse.
Estimate

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

24%8%+1.9
Calm children, fear and faints.
Estimate

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

16%18%+2.9
Spin, log and send to the lab.
Estimate

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

16%22%+3.5
Waste, needlesticks and hygiene.
Estimate

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

14%16%+2.2
Not mixing up a patient or a tube.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Bookings, labels and tubes
  • Puncture, draw and not haemolyse
  • Calm children, fear and faints
  • Spin, log and send to the lab
  • Waste, needlesticks and hygiene
  • Not mixing up a patient or a tube
  • flebotomista
  • extractora
  • phlebotomist

Sources for this job· O*NET 31-9097.00· ESCO/ISCO 5329

Agile coach

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
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
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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