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
IS WORK OVER?
Biomedical engineer
25%
AI can already do 25% of this job.
#230 / 633
View rankingBiomedical 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design, validate and document clinical devices and software.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Tests, MDR and risk.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Hospital, clinicians and maintenance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Vendors, quality and traceability.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
User training and post-market watch.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not putting a half-built prototype in theatre.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120