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?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142