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

IS WORK OVER?

27%

AI can already do 27% of this job.

#177 / 623

Medical secretary

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.

Task	Share	AI	Points
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
Total	100%		27%

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

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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.

Task	Share	AI	Points
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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