Automation index
How much of a Cardiologist’s job can AI already do?
Reading an ECG and a first report come earlier. Deciding on a catheter and talking to the family do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cardiologist
23%
AI can already do 23% of this job.
#290 / 623
View rankingCardiologist
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 ECG, echo and tests and write the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Clinic, auscultation and deciding the plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Procedures: catheter, pacemaker, cardioversion.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Explain risk, consent and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
On-call, consults and ward rounds.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Clinical meeting, team and owning the diagnosis.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
- Clinic, auscultation and deciding the plan
- Explain risk, consent and follow-up
- On-call, consults and ward rounds
- cardiologo
- cardiologist
Sources for this job· O*NET 29-1212.00· ESCO/ISCO 2212
IS WORK OVER?
BI analyst
34%
#18 / 623
View rankingBI analyst
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 data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511