IS WORK OVER?

Automation index

How much of a Emergency physician’s job can AI already do?

Triage and a protocol come earlier. Deciding in five minutes and telling the family do not.

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

Task comparison

Emergency physician

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 vitals, ECG and shock protocols.
Estimate

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

16%32%+5.1
Assess, stabilise and prioritise beds.
Estimate

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

22%10%+2.2
Procedures: line, suture, CPR.
Estimate

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

16%18%+2.9
Brief family and negotiate doubtful discharges.
Estimate

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

16%22%+3.5
Notes, consults and ward admissions.
Estimate

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

16%28%+4.5
Shift, team and not leaving anyone in the corridor.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • care for patients
  • diagnose
  • nursing care
  • clinical notes
  • Read vitals, ECG and shock protocols
  • Assess, stabilise and prioritise beds
  • Procedures: line, suture, CPR
  • Notes, consults and ward admissions
  • medico de urgencias
  • urgentologo

Sources for this job· O*NET 29-1214.00· ESCO/ISCO 2212

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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