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JOB REPORT / 29-9021 · 16 TASKS

Health Information Technologists and Medical Registrars.

Can AI do the work of Health Information Technologists and Medical Registrars?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

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The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Assign the patient to diagnosis-related groups (DRGs), using appropriate…
  • Monitor changes in legislation and accreditation standards that affect…
  • Write or maintain archived procedures, procedural codes, or queries…

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WHAT WE LOOKED AT

Your job, task by task.

15 of 16 tasks reviewed

This job has 16 core tasks. We went through 15 of them, one at a time.

Task by task, from the work Health Information Technologists and Medical Registrars actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.

    AI DOES

    Suggests DRG codes based on diagnosis and procedure data

    YOU DO

    Verify assignments and own compliance decisions

  2. TASK 02

    Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system.

    AI DOES

    Scans regulatory updates, summarizes changes in HIPAA rules or accreditation standards, and flags relevant new requirements

    YOU DO

    Apply legal changes to your specific systems and decide what actions your organization must take

  3. TASK 03

    Write or maintain archived procedures, procedural codes, or queries for applications.

    AI DOES

    Drafts SQL queries, procedural code templates, and documentation from plain-language prompts

    YOU DO

    Verify clinical rules, regulatory fit, and real-world workflow before publishing

  4. TASK 04

    Evaluate and recommend upgrades or improvements to existing computerized healthcare systems.

    AI DOES

    Drafts comparison reports, surfaces upgrade options, and flags known system issues

    YOU DO

    Weigh real workflow needs and get stakeholder buy-in before recommending changes

  5. TASK 05

    Design databases to support healthcare applications, ensuring security, performance and reliability.

    AI DOES

    Drafts database schemas, suggests indexing strategies, flags common security gaps, and generates sample SQL code

    YOU DO

    Apply deep healthcare compliance knowledge and validate designs against real clinical workflows before sign-off

  6. TASK 06

    Retrieve patient medical records for physicians, technicians, or other medical personnel.

    AI DOES

    Searches EHR systems and auto-routes records to the right person

    YOU DO

    Verify patient identity and enforce privacy rules carefully

  7. TASK 07

    Train medical records staff.

    AI DOES

    Drafts training guides, generates quiz questions, and suggests lesson plans

    YOU DO

    Lead live sessions, coach individuals, and judge when someone is truly ready

  8. TASK 08SOURCE-BACKED TASK

    Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.

    AI DOES

    Pulls and compiles data from multiple systems

    YOU DO

    Verify accuracy and clinical meaning

    About this analysis

    70% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  9. TASK 09

    Protect the security of medical records to ensure that confidentiality is maintained.

    AI DOES

    Scans access logs for suspicious activity and suggests security policy updates

    YOU DO

    Decide how to handle real breaches and stay current on privacy laws

  10. TASK 10

    Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.

    AI DOES

    Drafts schedules, flags workload bottlenecks, and summarizes staff performance data

    YOU DO

    Build trust, resolve conflicts, and make calls about people and priorities

  11. TASK 11SOURCE-BACKED TASK

    Identify, compile, abstract, and code patient data, using standard classification systems.

    AI DOES

    Extracts and codes data using standard systems

    YOU DO

    Verify accuracy and handle edge cases

    About this analysis

    42% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  12. TASK 12SOURCE-BACKED TASK

    Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.

    AI DOES

    Generates charts, tables, and draft summaries from raw data

    YOU DO

    Shape the story and check clinical accuracy

    About this analysis

    42% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  13. TASK 13SOURCE-BACKED TASK

    Develop in-service educational materials.

    AI DOES

    Generates content outlines and training modules

    YOU DO

    Shape learning goals and engagement

    About this analysis

    38% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  14. TASK 14SOURCE-BACKED TASK

    Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.

    AI DOES

    Organizes and categorizes health data quickly

    YOU DO

    Ensure accuracy and patient privacy

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  15. TASK 15SOURCE-BACKED TASK

    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.

    AI DOES

    Flags potential conflicts and suggests coding options

    YOU DO

    Judge context and negotiate the right answer

    About this analysis

    0% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.