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

Mobile 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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
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

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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