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?
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