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 / 633
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?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324