Medical Records Specialists

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 0.2), with simple added tooling (β 0.6), 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 17 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 and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.
• Consult classification manuals to locate information about disease processes.
• Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer.
• Identify, compile, abstract, and code patient data, using standard classification systems.
• Maintain or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.
• Post medical insurance billings.
• Process and prepare business or government forms.
• Process patient admission or discharge documents.
• Protect the security of medical records to ensure that confidentiality is maintained.
• Release information to persons or agencies according to regulations.
• 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.
• Review records for completeness, accuracy, and compliance with regulations.
• Scan patients' health records into electronic formats.
• Schedule medical appointments for patients.
• Transcribe medical reports.

Work activities

• Classify materials according to standard systems.
• Record patient medical histories.
• Maintain medical or professional knowledge.
• Enter patient or treatment data into computers.
• Collect medical information from patients, family members, or other medical professionals.
• Code data or other information.
• Maintain medical facility records.
• Process medical billing information.
• Prepare official health documents or records.
• Process healthcare paperwork.
• Maintain security.
• Perform clerical work in medical settings.
• Communicate with management or other staff to resolve problems.
• Monitor medical facility activities to ensure adherence to standards or regulations.
• Schedule appointments.
• Schedule patient procedures or appointments.

Skills in demand

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

• Microsoft Outlook Common Skill
• Microsoft Excel Common Skill
• Microsoft Word Common Skill
• Microsoft Windows Common Skill
• Microsoft Visio Specialized Skill
• Microsoft SharePoint Specialized Skill
• Microsoft Project Specialized Skill
• Microsoft PowerPoint 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

Postsecondary nondegree award · 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 Transcriptionists · 31-9094.00 Compare →
• Health Information Technologists and Medical Registrars · 29-9021.00 Compare →
• Medical Secretaries and Administrative Assistants · 43-6013.00 Compare →
• Medical Assistants · 31-9092.00 Compare →
• File Clerks · 43-4071.00 Compare →
• Patient Representatives · 29-2099.08 Compare →
• Document Management Specialists · 15-1299.03 Compare →
• Health Informatics Specialists · 15-1211.01 Compare →
• Statistical Assistants · 43-9111.00 Compare →
• Pharmacy Technicians · 29-2052.00 Compare →
• Physician Assistants · 29-1071.00 Compare →
• Emergency Medicine Physicians · 29-1214.00 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 Medical Records Specialists — 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-29-2072-00,
  title  = {Medical Records Specialists},
  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-29-2072-00}
}