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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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