AI exposure by occupation, O*NET 29-9021.00
Will AI replace Health Information Technologists and Medical Registrars?
Health Information Technologists and Medical Registrars: AI can already handle 9 of 16 tasks; the work mostly needs a standard-tier model.
Have a team in this role?
Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.
Every task, scored
The 16 tasks O*NET 30.3 lists for Health Information Technologists and Medical Registrars, from most to least exposed. 9 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds. | Estimated | Efficient | |
| Identify, compile, abstract, and code patient data, using standard classification systems. | Estimated | Efficient | |
| Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. | Estimated | Efficient | |
| Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization. | Estimated | Frontier | |
| Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department. | Estimated | Frontier | |
| Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system. | Estimated | Standard | |
| Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users. | Estimated | Efficient | |
| Retrieve patient medical records for physicians, technicians, or other medical personnel. | Estimated | Efficient | |
| Evaluate and recommend upgrades or improvements to existing computerized healthcare systems. | Estimated | Standard | |
| Design databases to support healthcare applications, ensuring security, performance and reliability. | Estimated | Frontier | |
| Develop in-service educational materials. | Estimated | Efficient | |
| Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information. | Estimated | Efficient | |
| Train medical records staff. | Estimated | Efficient | |
| Protect the security of medical records to ensure that confidentiality is maintained. | Estimated | Efficient | |
| Write or maintain archived procedures, procedural codes, or queries for applications. | Estimated | Standard | |
| Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 75% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 6% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 38,100
- Median annual wage
- $68,020
- Middle half of earners
- $48,940 to $95,630
- Projected change, 2024 to 2034
- +14.7%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Medical Records Specialists 70% skill overlap, about 11 months to move Exposure48
- Health Informatics Specialists 69% skill overlap, about 11 months to move Exposure60
- Medical and Clinical Laboratory Technologists 65% skill overlap, about 13 months to move Exposure52
- Clinical Data Managers 63% skill overlap, about 13 months to move Exposure54
- Medical and Health Services Managers 63% skill overlap, about 13 months to move Exposure56
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Health Information Technologists and Medical Registrars and AI
Will AI replace Health Information Technologists and Medical Registrars?
AI already handles 9 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 57 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +14.7% from 2024 to 2034.
What is the AI exposure of Health Information Technologists and Medical Registrars?
57 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.
Which Health Information Technologists and Medical Registrars tasks can AI already do?
The tasks with the highest exposure are: Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds; Identify, compile, abstract, and code patient data, using standard classification systems; Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. They are three of the 9 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 75% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Health Information Technologists and Medical Registrars, and what do they earn?
38,100 people in the United States, with a median annual wage of $68,020 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +14.7% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Health Information Technologists and Medical Registrars. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/health-information-technologists-and-medical-registrars
Have a team in this role?
Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.
A founder replies within one business day.