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

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
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

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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