IS WORK OVER?

Automation index

How much of a Dental hygienist’s job can AI already do?

An appointment and a reminder come earlier. Scaling, probing and not hurting the gum do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Dental hygienist

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
Diary, charts and recall reminders.
Estimate

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

16%32%+5.1
Scaling, polish and periodontal probing.
Estimate

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

22%10%+2.2
Teach brushing, diet and maintenance.
Estimate

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

16%22%+3.5
Support the dentist in clinic and X-ray.
Estimate

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

16%18%+2.9
Clinical notes and progress photos.
Estimate

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

16%28%+4.5
Sterilisation, bay and not infecting anyone.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • Diary, charts and recall reminders
  • Scaling, polish and periodontal probing
  • Teach brushing, diet and maintenance
  • Support the dentist in clinic and X-ray
  • Clinical notes and progress photos
  • higienista dental
  • dental hygienist

Sources for this job· O*NET 29-1292.00· ESCO/ISCO 2266

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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