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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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