Automation index

How much of a Health information technician’s job can AI already do?

An ICD-10 and a file come earlier. Coding it right and having the record when it is needed do not.

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

Task comparison

IS WORK OVER?

31%

AI can already do 31% of this job.

#43 / 623

Health information technician

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
Code ICD, the discharge set and the episode. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Filing, scanning and the missing record. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Loans, copies and the judge who wants the file. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Documentation emergencies and the discharge that will not close. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Data quality, audits and billing. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Confidentiality and not losing the record. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		31%

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

IS WORK OVER?

26%

#211 / 623

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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