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?
Statistician
26%
#201 / 623
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo 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
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120