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JOB REPORT / 29-2072 · 17 TASKS

Medical Records Specialists.

Can AI do the work of Medical Records Specialists?

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?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

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…
  • Process and prepare business or government forms
  • Process patient admission or discharge documents

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A guided certificate program in AI-assisted Medical Records Specialists work. It covers the 15 AI-affected parts of your job and ends in a capstone a person reviews.

WHAT WE LOOKED AT

Your job, task by task.

15 of 17 tasks reviewed

This job has 17 core tasks. We went through 15 of them, one at a time.

Task by task, from the work Medical Records Specialists 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 diagnoses, procedures, and patient data

    YOU DO

    Verify complex cases and catch errors that affect reimbursement

  2. TASK 02

    Process and prepare business or government forms.

    AI DOES

    Auto-fills form fields, flags missing info, and checks data against records

    YOU DO

    Verify tricky cases and take responsibility for accuracy

  3. TASK 03

    Process patient admission or discharge documents.

    AI DOES

    Extracts data from forms, flags missing fields, and auto-fills standard templates

    YOU DO

    Verify accuracy, resolve exceptions, and protect patient privacy

  4. TASK 04

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

    AI DOES

    Searches databases, flags matching records, and routes files to requesters

    YOU DO

    Confirm identity, verify authorization, and protect patient privacy

  5. TASK 05

    Schedule medical appointments for patients.

    AI DOES

    Books appointments, sends reminders, checks provider availability, and fills scheduling gaps automatically

    YOU DO

    Handle sensitive patient concerns, judgment calls, and tricky insurance or referral situations

  6. TASK 06

    Post medical insurance billings.

    AI DOES

    Reads diagnosis and procedure codes, checks payer rules, and pre-fills billing forms automatically

    YOU DO

    Catch payer-specific exceptions, resolve claim denials, and verify patient data accuracy

  7. TASK 07

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

    AI DOES

    Scans access logs for suspicious activity and flags policy gaps

    YOU DO

    Own the accountability and handle sensitive breach decisions

  8. TASK 08SOURCE-BACKED TASK

    Transcribe medical reports.

    AI DOES

    Converts speech to text with medical terms

    YOU DO

    Verify accuracy and context

    About this analysis

    69% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  9. TASK 09SOURCE-BACKED TASK

    Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer.

    AI DOES

    Reads forms and populates standard data fields

    YOU DO

    Verify accuracy and handle edge cases

    About this analysis

    50% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  10. TASK 10

    Scan patients' health records into electronic formats.

    AI DOES

    Flags blurry scans, auto-names files, and sorts documents by type

    YOU DO

    Handle fragile paper records and operate scanning equipment in person

  11. TASK 11SOURCE-BACKED TASK

    Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.

    AI DOES

    Extracts data from forms and organizes entries

    YOU DO

    Verify accuracy and protect patient privacy

    About this analysis

    43% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  12. TASK 12SOURCE-BACKED TASK

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

    AI DOES

    Extracts and codes patient data from records

    YOU DO

    Verify clinical accuracy and edge cases

    About this analysis

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

  13. TASK 13SOURCE-BACKED TASK

    Review records for completeness, accuracy, and compliance with regulations.

    AI DOES

    Flags missing fields and potential compliance issues

    YOU DO

    Judge context and approve final decisions

    About this analysis

    27% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

  14. TASK 14SOURCE-BACKED TASK

    Consult classification manuals to locate information about disease processes.

    AI DOES

    Searches manuals and pulls relevant classifications instantly

    YOU DO

    Apply clinical judgment to complex cases

    About this analysis

    24% · 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 clinical context and negotiate resolution

    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.