Automation index
How much of a Family doctor’s job can AI already do?
A protocol and a prescription come earlier. Seeing thirty in a morning and not missing a serious one do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Family doctor
23%
AI can already do 23% of this job.
#328 / 703
View rankingFamily doctor
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 history, labs and primary-care protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, examination and home visits.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Explain, refer and hold uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Prescriptions, notes and sick-leave reports.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
List, nursing team and the health centre.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Primary-care emergencies and not missing a heart attack.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Clinic, examination and home visits
- Explain, refer and hold uncertainty
- List, nursing team and the health centre
- medico de familia
- general practitioner
Sources for this job· O*NET 29-1215.00· ESCO/ISCO 2211
IS WORK OVER?
Instructional designer
27%
#158 / 703
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351