Health Information Technologists and Medical Registrars

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.7), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

• 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.
• Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization.
• Identify, compile, abstract, and code patient data, using standard classification systems.
• Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
• Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system.
• Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.
• Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.
• Protect the security of medical records to ensure that confidentiality is maintained.
• 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.
• Retrieve patient medical records for physicians, technicians, or other medical personnel.
• Train medical records staff.
• Write or maintain archived procedures, procedural codes, or queries for applications.

Work activities

• Classify materials according to standard systems.
• Gather medical information from patient histories.
• Code data or other information.
• Create databases to store electronic data.
• Prepare healthcare training materials.
• Test computer hardware performance.
• Test software performance.
• Recommend changes to improve computer or information systems.
• Market products, services, or events.
• Promote educational institutions or programs.
• Collect medical information from patients, family members, or other medical professionals.
• Supervise medical support personnel.
• Manage healthcare operations.
• Monitor external affairs or events affecting business operations.
• Evaluate applicable laws and regulations to determine impact on organizational activities.
• Maintain medical facility records.
• Present medical research reports.
• Maintain security.
• Communicate with management or other staff to resolve problems.
• Perform clerical work in medical settings.
• Train caregivers or other non-medical personnel.
• Develop procedures for data management.

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

• Microsoft Excel Common Skill
• Microsoft Word Common Skill
• Microsoft Windows Common Skill
• Microsoft Visio Specialized Skill
• Microsoft Project Specialized Skill
• Microsoft PowerPoint Common Skill
• Microsoft Outlook Common Skill
• Microsoft Access Specialized Skill
• Speech Recognition Software Specialized Skill
• Minitab Specialized Skill
• Microsoft Dynamics Specialized Skill
• MicroStrategy Specialized Skill
• IBM InfoSphere DataStage Specialized Skill
• Graphics Software Specialized Skill
• Email Software Specialized Skill
• Allscripts EHR Specialized Skill
• 3M Encoder Specialized Skill
• Project Management Software Specialized Skill
• Presentation Software Specialized Skill
• Medical Software Specialized Skill
• Accounting Software Specialized Skill

Tools & technology

Showing the top 40 of 109.

How to get in

Job zone

Zone 3 — Job Zone Three: Medium Preparation Needed

Education

Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.

Typical entry-level education

Associate's degree · BLS, the typical path — not a requirement

Related experience

Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.

Preparation level

SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Interest areas

Work styles

Wages & employment

U.S. · annual wages (BLS OEWS)

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Related occupations

Part of the Healthcare & Human Services career cluster.

• Medical Records Specialists · 29-2072.00 Compare →
• Clinical Data Managers · 15-2051.02 Compare →
• Health Informatics Specialists · 15-1211.01 Compare →
• Patient Representatives · 29-2099.08 Compare →
• Document Management Specialists · 15-1299.03 Compare →
• Statistical Assistants · 43-9111.00 Compare →
• Computer Systems Analysts · 15-1211.00 Compare →
• Database Administrators · 15-1242.00 Compare →
• Clinical Research Coordinators · 11-9121.01 Compare →
• Administrative Services Managers · 11-3012.00 Compare →
• Management Analysts · 13-1111.00 Compare →
• Medical and Health Services Managers · 11-9111.00 Compare →

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Health Information Technologists and Medical Registrars — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• Microsoft “Working with AI” working-with-ai Microsoft Research
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-role-29-9021-00,
  title  = {Health Information Technologists and Medical Registrars},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-9021-00}
}