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?
Health information technician
31%
AI can already do 31% of this job.
#43 / 623
View rankingHealth information 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.
| Task | Share | AI | Points |
|---|---|---|---|
Code ICD, the discharge set and the episode.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Filing, scanning and the missing record.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Loans, copies and the judge who wants the file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Documentation emergencies and the discharge that will not close.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Data quality, audits and billing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Confidentiality and not losing the record.EstimateNo 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
Skills and activities
- code ICD-10
- discharge dataset
- file records
- loan records
- health documentation
- scan reports
- clinical data quality
- confidentiality
Sources for this job· O*NET 29-2072.00· ESCO/ISCO 3252
IS WORK OVER?
Economist
30%
#49 / 623
View rankingEconomist
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.
| Task | Share | AI | Points |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631