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

Semiconductor technician

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
Recipe, tool and the batch.
Estimate

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

16%40%+6.4
Room, the suit and the one that contaminates.
Estimate

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

18%14%+2.5
Metrology, the defect and stopping.
Estimate

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

16%28%+4.5
Shift, the yield and not hiding it.
Estimate

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

16%22%+3.5
The engineer, the change and not touching blind.
Estimate

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

18%18%+3.2
The batch comes out, and the room intact.
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

  • wafers
  • cleanroom
  • yield
  • metrology
  • process recipes
  • contamination
  • chip batches
  • suits

Sources for this job· O*NET 51-9141.00· ESCO/ISCO 3114

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