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 / 623
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?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511