IS WORK OVER?

Automation index

How much of a Medical sales rep’s job can AI already do?

A leave-behind comes earlier. Getting into clinic without selling smoke to the doctor do not.

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

Task comparison

Medical sales rep

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
Route, leave-behind and the call.
Estimate

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

16%40%+6.4
Clinic, the minute and the one who will not see you.
Estimate

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

18%14%+2.5
Trial, the SmPC and not over-claiming.
Estimate

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

16%28%+4.5
Pharmacy, stock and the one who will not order.
Estimate

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

16%22%+3.5
The code, compliance and not over-hosting.
Estimate

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

18%18%+3.2
Get in for real, and not selling smoke.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • call routes
  • leave-behinds
  • SmPC
  • pharmacies
  • compliance
  • trials
  • clinics
  • not over-claim

Sources for this job· O*NET 41-4011.00· ESCO/ISCO 2433

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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