High AI Risk Much Faster

Health information technologists and medical registrars

SOC Code: 29-9021

Health information technologists and medical registrars carries a 43% AI exposure score (High automation risk), with a median annual wage of $67,310 and +14.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 41,900 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
43% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+14.7%
2024–2034 (BLS)
+6,200 jobs
Median Annual Wage
$67,310
BLS May 2024
How wage figures are sourced →
The verdict

At 43% AI exposure, Health information technologists and medical registrars sits 6 points above the 37.2% average across 832 U.S. occupations - more exposed than 76% of them. Most of its core tasks still require human judgment.

43%
AI exposure
Top 24%
most exposed
+14.7%
Job growth 2024–34
$67,310
Median wage

Where Health information technologists and medical registrars sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Health information technologists and medical registrars marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 24% by AI exposure Higher AI exposure than 76% of all 832 occupations.

Health information technologists and medical registrars has ai exposure of 43%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Health information technologists and medical registrars vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Health information technologists and medical registrars is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk8.4%22.5%36.5%50.5%64.5%0%10.5%21.1%31.6%42.1%AI exposure (%) →Projected growth (%) →Health information tRegistered nursesLicensed practicalPharmacy techniciansClinical laboratory PhysiciansPharmacistsNurse practitionersPhysical therapistsRadiologic technologDental hygienistsMedical records spec

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

41,900
Employment 2024
48,100
Projected 2034
+14.7%
Change (%)
+6,200
Change (jobs)

Occupation Insight

Health information technologists and medical registrars (SOC 29-9021) carries an AI exposure score of 43%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 41,900 workers in this occupation in 2024, and projects a +14.7% change through 2034 - a strong growth outlook that compensates meaningfully for automation risk. Median annual compensation stands at $67,310, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Associate's degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Health information technologists and medical registrars. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Associate's degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
  2. 2. Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.
  3. 3. Design databases to support healthcare applications, ensuring security, performance and reliability.
  4. 4. Develop in-service educational materials.
  5. 5. Evaluate and recommend upgrades or improvements to existing computerized healthcare systems.
  6. 6. Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization.
  7. 7. Identify, compile, abstract, and code patient data, using standard classification systems.
  8. 8. Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
  9. 9. Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system.
  10. 10. Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.

Frequently Asked Questions

Will AI replace Health information technologists and medical registrars?

Health information technologists and medical registrars has an AI exposure score of 43%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for Health information technologists and medical registrars?

According to BLS Employment Projections 2024-2034, Health information technologists and medical registrars is projected to grow by 14.7% over the decade. Current employment stands at approximately 41,900 workers.

What skills are needed for Health information technologists and medical registrars?

Health information technologists and medical registrars requires a combination of technical knowledge and interpersonal skills. Typical education requirement: Associate's degree.

How much do Health information technologists and medical registrars earn?

The median annual wage for Health information technologists and medical registrars is $67,310, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Health information technologists and medical registrars?

The typical entry-level education for Health information technologists and medical registrars is Associate's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ Health information technologists and medical registrars?

Health information technologists and medical registrars roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.1
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.