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

Front-end 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
Component, states and the design.
Estimate

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

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

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

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

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

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

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

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

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

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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