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?
Family doctor
23%
#304 / 623
View rankingFamily doctor
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 |
|---|---|---|---|
Read history, labs and primary-care protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, examination and home visits.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Explain, refer and hold uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Prescriptions, notes and sick-leave reports.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
List, nursing team and the health centre.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Primary-care emergencies and not missing a heart attack.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- Clinic, examination and home visits
- Explain, refer and hold uncertainty
- List, nursing team and the health centre
- medico de familia
- general practitioner
Sources for this job· O*NET 29-1215.00· ESCO/ISCO 2211