IS WORK OVER?

Automation index

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

A clinic diary comes earlier. The patient going in and the record being there do not.

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

Task comparison

Medical secretary

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
Diary, appointments and the DNA.
Estimate

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

18%48%+8.6
Record, the report and the missing one.
Estimate

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

16%40%+6.4
Phone, results and not giving them wrong.
Estimate

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

16%22%+3.5
The doctor, the delay and not wrecking the waiting room.
Estimate

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

16%28%+4.5
Confidentiality and not talking in the corridor.
Estimate

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

18%14%+2.5
The patient goes in, and the record is there.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • clinic diary
  • records
  • results
  • confidentiality
  • waiting room
  • medical appointments
  • reports
  • DNAs

Sources for this job· O*NET 43-6013.00· ESCO/ISCO 3344

Blood bank technician

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
Group, screen and the bag crossmatch.
Estimate

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

18%52%+9.4
Fractionate, label and traceability.
Estimate

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

16%40%+6.4
The emergency, the massive and the ID error.
Estimate

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

18%14%+2.5
Donation, apheresis and the donor who feels unwell.
Estimate

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

16%28%+4.5
Stock, expiry and what theatre asks for.
Estimate

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

16%22%+3.5
The right bag and owning the blood group.
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

  • crossmatch blood
  • blood group
  • fractionate products
  • donor apheresis
  • bag traceability
  • massive transfusion
  • label units
  • blood bank

Sources for this job· O*NET 29-2011.00· ESCO/ISCO 3212

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