Automation index
How much of a Nephrologist’s job can AI already do?
A filtration figure and a dose tweak come earlier. Calling dialysis and the vascular access do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Nephrologist
23%
AI can already do 23% of this job.
#307 / 623
View rankingNephrologist
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 |
|---|---|---|---|
Read labs, clearance and the sediment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Kidney clinic, blood pressure and adherence.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Dialysis prescription, immunosuppression and anaemia.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Place or watch catheters and the vascular access.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Ward, consult and the patient who crashes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Transplant list and owning the filtration.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- treat kidneys
- prescribe dialysis
- read clearance
- nephrology clinic
- vascular access
- immunosuppression
- renal hypertension
- transplant list
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511