IS WORK OVER?

Automation index

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

A protocol and a model come earlier. Kit that does not fail in theatre does not.

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

Task comparison

Biomedical 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
Design, validate and document clinical devices and software.
Estimate

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

18%48%+8.6
Tests, MDR and risk.
Estimate

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

16%32%+5.1
Hospital, clinicians and maintenance.
Estimate

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

16%22%+3.5
Vendors, quality and traceability.
Estimate

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

16%18%+2.9
User training and post-market watch.
Estimate

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

18%16%+2.9
Not putting a half-built prototype in theatre.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • Tests, MDR and risk
  • Hospital, clinicians and maintenance
  • Vendors, quality and traceability
  • User training and post-market watch
  • ingeniero biomedico
  • biomedical engineer

Sources for this job· O*NET 17-2031.00· ESCO/ISCO 2149

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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