Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. · 0.7%
Medical Secretaries and Administrative Assistants
Occupation · SOC 43-6013.00
Perform secretarial duties using specific knowledge of medical terminology and hospital, clinic, or laboratory procedures. Duties may include scheduling appointments, billing patients, and compiling and recording medical charts, reports, and correspondence.
Also called: Medical Receptionist · Medical Secretary · Unit Clerk · Unit Support Representative · Clinic Office Assistant · Front Desk Receptionist · Medical Office Specialist · Physician Office Specialist · Secretary · Ward Clerk · Administrative Support Specialist · Appointment Scheduler
Job family: Office and Administrative Support Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-43-6013-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. · 1.6%
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. · 91.2% need a human
- Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. · 90.9% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.2% by 2034)
- 85,900 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $44,640/yr
- Can largely be done remotely (teleworkable)
- Both the 2013 computerization estimate and today's AI exposure rank this high
83rd-percentile task overlap — yet about 85,900 openings a year (+4.2% projected, BLS), and observed AI use leans 4353% copilot, not hand-off (AEI) . What exposure means →
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.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 83rd | 1.2 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) Moderate | 63rd | 0.2 |
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.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.8 · 65th percentile among occupations · Moderate
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.
| Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. | 1.4% | |
| Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. | 1.3% | |
| Answer telephones and direct calls to appropriate staff. | 1.0% | |
| Complete insurance or other claim forms. | 0.5% | |
| Transcribe recorded messages or practitioners' diagnoses or recommendations into patients' medical records. | 0.4% | |
| Operate office equipment, such as voice mail messaging systems, and use word processing, spreadsheet, or other software applications to prepare reports, invoices, financial statements, letters, case histories, or medical records. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.2% by 2034 |
| Projected annual openings | 85,900 |
| Employment 2024 → 2034 | 850,000 → 885,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Medical Secretaries and Administrative Assistants sits at the 91st percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
53% mean task exposure (2025)
91st percentile of 427 placed occupations
−8 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Medical Secretaries · 3344 | 53% | Gradient 3 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 43.5% working with AI · 37.1% handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 56.5% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. | Iteration | 1.6% |
| Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. | Directive | 0.7% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. | 91.2% | |
| Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. | 90.9% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings.From: Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. · 1.6% of measured AI use · task iteration
-
Help me compile and record medical charts, reports, or correspondence, using typewriter or personal computer.From: Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. · 0.7% of measured AI use · directive
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.
- Answer telephones and direct calls to appropriate staff. Core · importance 4.6
- Transcribe recorded messages or practitioners' diagnoses or recommendations into patients' medical records. Supplemental · importance 4.6
- Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. Supplemental · importance 4.5
- Schedule and confirm patient diagnostic appointments, surgeries, or medical consultations. Core · importance 4.5
- Complete insurance or other claim forms. Core · importance 4.5
- Greet visitors, ascertain purpose of visit, and direct them to appropriate staff. Core · importance 4.5
- Transmit correspondence or medical records by mail, e-mail, or fax. Core · importance 4.5
- Maintain medical records, technical library, or correspondence files. Core · importance 4.5
- Receive and route messages or documents, such as laboratory results, to appropriate staff. Core · importance 4.5
- Interview patients to complete documents, case histories, or forms, such as intake or insurance forms. Core · importance 4.4
- Operate office equipment, such as voice mail messaging systems, and use word processing, spreadsheet, or other software applications to prepare reports, invoices, financial statements, letters, case histories, or medical records. Core · importance 4.4
- Schedule tests or procedures for patients, such as lab work or x-rays, based on physician orders. Supplemental · importance 4.3
- Perform bookkeeping duties, such as credits or collections, preparing and sending financial statements or bills, and keeping financial records. Core · importance 4.2
- Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. Supplemental · importance 3.7
- Perform various clerical or administrative functions, such as ordering and maintaining an inventory of supplies. Core · importance 3.6
- Arrange hospital admissions for patients. Supplemental
Work activities
- Schedule appointments.
- Compile data or documentation.
- Maintain medical records.
- Answer telephones to direct calls or provide information.
- Relay information between personnel.
- Refer customers to appropriate personnel.
- Greet customers, patrons, or visitors.
- Interview employees, customers, or others to collect information.
- Operate office equipment.
- Operate computers or computerized equipment.
- Send information, materials or documentation.
- Order materials, supplies, or equipment.
- Transcribe spoken or written information.
- Maintain financial or account records.
- Collect deposits, payments or fees.
- Prepare documentation for contracts, transactions, or regulatory compliance.
- Prepare business correspondence.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Essential skills
| Speaking | 4.0 | |
| Active Listening | 3.9 | |
| Reading Comprehension | 3.5 | |
| Writing | 3.1 | |
| Critical Thinking | 3.1 | |
| Monitoring | 3.0 | |
| Active Learning | 2.3 |
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Near Vision | 3.4 | |
| Written Expression | 3.1 | |
| Deductive Reasoning | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Information Ordering | 3.1 | |
| Problem Sensitivity | 3.0 | |
| Category Flexibility | 3.0 | |
| Selective Attention | 2.9 | |
| Time Sharing | 2.9 | |
| Finger Dexterity | 2.8 |
Transferable skills
| Service Orientation | 3.6 | |
| Coordination | 3.1 | |
| Complex Problem Solving | 3.1 | |
| Time Management | 3.1 | |
| Social Perceptiveness | 3.0 | |
| Judgment and Decision Making | 2.9 | |
| Management of Personnel Resources | 2.6 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 47.
Tools & technology
Showing the top 40 of 49.
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
What to study: Agriculture, Agriculture Operations, and Related Sciences , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 47.6% | |
| Associate's Degree (or other 2-year degree) | 26.0% | |
| Post-Secondary Certificate | 19.9% | |
| Less than a High School Diploma | 5.3% | |
| Some College Courses | 1.2% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 6.7 | |
| Social | 4.1 | |
| Enterprising | 3.2 | |
| Investigative | 3.0 | |
| Realistic | 2.3 |
Interest areas
| Office Work | 6.4 | |
| Health Care Service | 4.4 | |
| Accounting | 4.0 | |
| Personal Service | 3.8 | |
| Management/Administration | 2.6 | |
| Human Resources | 2.1 | |
| Medical Science | 2.0 | |
| Life Science | 2.0 |
Work styles
| Dependability | 3.0 | |
| Attention to Detail | 2.8 | |
| Cooperation | 2.1 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $35,050 |
| 25th percentile | $37,880 |
| Median (50th) | $44,640 |
| 75th percentile | $49,720 |
| 90th percentile | $60,050 |
| People employed | 830,760 |
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.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 753,180 | $44,530 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 24,000 | $38,390 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 18,760 | $45,280 |
| Offices of Chiropractors · National industry | 16,310 | $37,830 |
| Management of Companies and Enterprises · Sector | 14,000 | $46,620 |
| Professional, Scientific, and Technical Services · Sector | 12,650 | $45,110 |
| Offices of Optometrists · National industry | 11,540 | $37,560 |
| Educational Services · Sector | 9,480 | $49,140 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 9,330 | $39,480 |
| Finance and Insurance · Sector | 7,110 | $46,150 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 4,950 | $42,280 |
| Direct Health and Medical Insurance Carriers · National industry | 4,470 | $46,880 |
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).
| Industry | Concentration | Workers |
|---|---|---|
| Offices of Chiropractors · National industry | 20.75× | 16,310 |
| Offices of Optometrists · National industry | 14.04× | 11,540 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 9.35× | 24,000 |
| Health Care and Social Assistance · Sector | 6.05× | 753,180 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 5.59× | 9,330 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 3.8× | 4,950 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 2.02× | 2,810 |
| Direct Health and Medical Insurance Carriers · National industry | 1.85× | 4,470 |
Related occupations
Part of the Healthcare & Human Services career cluster.
- Receptionists and Information Clerks · 43-4171.00 Compare →
- Medical Records Specialists · 29-2072.00 Compare →
- Secretaries and Administrative Assistants, Except Legal, Medical, and Executive · 43-6014.00 Compare →
- Office Clerks, General · 43-9061.00 Compare →
- Medical Assistants · 31-9092.00 Compare →
- Patient Representatives · 29-2099.08 Compare →
- Executive Secretaries and Executive Administrative Assistants · 43-6011.00 Compare →
- Medical Transcriptionists · 31-9094.00 Compare →
- Customer Service Representatives · 43-4051.00 Compare →
- Insurance Claims and Policy Processing Clerks · 43-9041.00 Compare →
- Medical and Health Services Managers · 11-9111.00 Compare →
- Administrative Services Managers · 11-3012.00 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 Secretaries and Administrative Assistants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
- Agriculture, Agriculture Operations, and Related Sciences · field of study
- Health Professions and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 91st percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Medical Secretaries and Administrative Assistants show 83rd-percentile AI task overlap — and about 85,900 annual U.S. openings
- Medical Secretaries and Administrative Assistants rank in the 83rd percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 85,900 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+4.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $44,640, across about 830,760 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 44% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Medical Secretaries and Administrative Assistants show 83rd-percentile AI task overlap — and about 85,900 annual U.S. openings • Medical Secretaries and Administrative Assistants rank in the 83rd percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 85,900 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $44,640, across about 830,760 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 44% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Medical Secretaries and Administrative Assistants". https://singulariki.com/roles/role-43-6013-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Medical Secretaries and Administrative Assistants." Singulariki: a source-backed encyclopedia of work. Built from 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-43-6013-00
APA
Singulariki. (2026). Medical Secretaries and Administrative Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-43-6013-00
BibTeX
@misc{singulariki-role-43-6013-00,
title = {Medical Secretaries and Administrative Assistants},
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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-43-6013-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.