IS WORK OVER?

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

Family 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.

TaskShareAIPoints
Read history, labs and primary-care protocols.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Clinic, examination and home visits.
Estimate

No public source provides a precise figure. This is our estimate.

22%12%+2.6
Explain, refer and hold uncertainty.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Prescriptions, notes and sick-leave reports.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
List, nursing team and the health centre.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Primary-care emergencies and not missing a heart attack.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%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

Mobile developer

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.

TaskShareAIPoints
Screens, API and offline state.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
CI, tests and the week's release.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

Analyse my job

Jobs with similar scores

  1. 301Home-automation installer23%
  2. 302Station master23%
  3. 303Aircraft mechanic23%
  4. 305Sports physician23%
  5. 306Forensic pathologist23%
  6. 307Nephrologist23%