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 / 683

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?

27%

#206 / 683

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. 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