Automation index
How much of a Medical secretary’s job can AI already do?
A clinic diary comes earlier. The patient going in and the record being there do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Medical secretary
27%
AI can already do 27% of this job.
#177 / 623
View rankingMedical secretary
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 |
|---|---|---|---|
Diary, appointments and the DNA.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Record, the report and the missing one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Phone, results and not giving them wrong.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The doctor, the delay and not wrecking the waiting room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Confidentiality and not talking in the corridor.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
The patient goes in, and the record is there.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- clinic diary
- records
- results
- confidentiality
- waiting room
- medical appointments
- reports
- DNAs
Sources for this job· O*NET 43-6013.00· ESCO/ISCO 3344
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