Where AI can help
AI can support record extraction and classification.
US labor-market data in USD. Changing language does not change the country.
✓ United StatesBrazil — data in preparationBrazil is not available yet. We will publish a local dataset after validating CBO mapping and remuneration coverage.
Work on the organization and analysis of health systems and datasets. They connect record knowledge with information quality and use.
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.
Design databases to support healthcare applications, ensuring security, performance and reliability.
Develop in-service educational materials.
Evaluate and recommend upgrades or improvements to existing computerized healthcare systems.
A report or database improvement making health information more consistent and usable.
Editorial example, not a reported worker interview. Tools vary by employer.Hospitals and health organizations. Work involves clinical, administrative and technology teams.
O*NET® 31.0 ↗Mean is the arithmetic average; median is the midpoint of the wage distribution. National occupational figures are not starting-salary promises.
Percentiles describe the workforce distribution, not junior and senior salary bands. Excludes self-employed workers; see the source for coverage.
BLS · May 2025 · USD/year ↗Includes replacement needs over 2025–2035. These are projections, not open job advertisements.
BLS · 2025–2035 ↗AI can support record extraction and classification.
Quality criteria, access and interpretation of indicators need validation in the health context.
The task discussion is editorial interpretation. Only the exposure percentage is reproduced from the study; we do not assign percentages to individual tasks.
Anthropic · March 2026 study ↗Use the exercise below to practice a real task, check AI outputs and identify where you need more depth. A career change is one option, not a requirement.
Use a synthetic dataset to create a data dictionary and check completeness and consistency.
Typical requirements in BLS data, not universal hiring rules. Verify the employer’s requirements and any applicable credential or license.
BLS · 2025 ↗Databases · electronic health records · reports and analysis tools
Editorial example, not a reported worker interview. Tools vary by employer.
These are researched starting points, not personalized recommendations or promises of lower AI exposure. Check the destination’s requirements and your own circumstances.
Health systems knowledge can support requirements analysis in that industry.
Requires deeper technical preparation; check health technology requirements.
Use a synthetic dataset to create a data dictionary and check completeness and consistency.
Use the official occupation title below to search current listings. Check duties, location, experience and compensation. External search results have not been verified as active by this directory.
Health Information Technologists and Medical RegistrarsSearch external job listings ↗Ask which tasks take the most time, how AI changed the routine and what evidence of skill helped them enter. Compare their experience with the published data.
My Next Move ↗Occupational descriptions adapt the O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration, under CC BY 4.0. Is my job toast? translated, shortened and supplemented the material. USDOL/ETA has not approved or endorsed these changes. CC BY 4.0 ↗