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 →Patient Representatives
Occupation · SOC 29-2099.08
Assist patients in obtaining services, understanding policies and making health care decisions.
Also called: Case Manager · Medicaid Service Coordinator (MSC) · Patient Advocate · Patient Service Representative · Access Representative · Admissions Coordinator · Patient Access Coordinator · Patient Access Specialist · Patient Navigator · Patient Resource Worker · Admitting Clerk · Admitting Representative
Job family: Healthcare Practitioners and Technical Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-2099-08/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.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+5.2% by 2034)
- 13,600 openings/yr
- Low AI exposure
- Median pay $48,790/yr
- Work is mostly on-site (not teleworkable)
51st-percentile task overlap — yet about 13,600 openings a year (+5.2% projected, BLS) . 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.) Moderate | 40th | -0.3 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 86th | 1.0 | |
| AI assistant applicability (Microsoft) Low | 29th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), 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.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
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.
| Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff. | 3.9% | |
| Explain policies, procedures, or services to patients using medical or administrative knowledge. | 1.4% | |
| Coordinate communication between patients, family members, medical staff, administrative staff, or regulatory agencies. | 0.6% | |
| Identify and share research, recommendations, or other information regarding legal liabilities, risk management, or quality of care. | 0.6% | |
| Refer patients to appropriate health care services or resources. | 0.5% | |
| Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field. | 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 · +5.2% by 2034 |
| Projected annual openings | 13,600 |
| Employment 2024 → 2034 | 178,800 → 188,100 |
“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.
Patient Representatives sits at the 57th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
30% mean task exposure (2025)
57th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Health Associate Professionals Not Elsewhere Classified · 3259 | 30% | Minimal |
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.
Tasks
All 13 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Coordinate communication between patients, family members, medical staff, administrative staff, or regulatory agencies. Core · importance 4.7
- Interview patients or their representatives to identify problems relating to care. Core · importance 4.5
- Refer patients to appropriate health care services or resources. Core · importance 4.4
- Maintain knowledge of community services and resources available to patients. Core · importance 4.2
- Explain policies, procedures, or services to patients using medical or administrative knowledge. Core · importance 4.1
- Investigate and direct patient inquiries or complaints to appropriate medical staff members and follow up to ensure satisfactory resolution. Core · importance 3.9
- Provide consultation or training to volunteers or staff on topics, such as guest relations, patients' rights, or medical issues. Supplemental · importance 3.9
- Analyze patients' abilities to pay to determine charges on a sliding scale. Supplemental · importance 3.8
- Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field. Core · importance 3.7
- Identify and share research, recommendations, or other information regarding legal liabilities, risk management, or quality of care. Supplemental · importance 3.5
- Collect and report data on topics, such as patient encounters or inter-institutional problems, making recommendations for change when appropriate. Supplemental · importance 3.4
- Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff. Core · importance 3.2
- Teach patients to use home health care equipment. Supplemental · importance 3.0
Work activities
- Explain regulations, policies, or procedures.
- Coordinate operational activities.
- Refer customers to appropriate personnel.
- Interview employees, customers, or others to collect information.
- Analyze financial information.
- Prepare research or technical reports.
- Prepare informational or reference materials.
- Distribute materials to employees or customers.
- Teach basic living or other adaptive skills to patients or caregivers.
- Instruct patients in the use of assistive equipment.
- Provide information to coworkers.
- Maintain current knowledge related to work activities.
- Train personnel.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Oral Comprehension | 4.3 | |
| Oral Expression | 4.1 | |
| Written Comprehension | 3.8 | |
| Written Expression | 3.8 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Near Vision | 3.8 | |
| Speech Recognition | 3.8 | |
| Speech Clarity | 3.8 | |
| Problem Sensitivity | 3.6 | |
| Information Ordering | 3.5 | |
| Category Flexibility | 3.1 | |
| Selective Attention | 3.1 | |
| Fluency of Ideas | 3.0 |
Essential skills
| Active Listening | 4.1 | |
| Reading Comprehension | 3.9 | |
| Speaking | 3.9 | |
| Critical Thinking | 3.6 | |
| Writing | 3.3 | |
| Active Learning | 3.3 | |
| Monitoring | 3.1 |
Transferable skills
| Social Perceptiveness | 4.0 | |
| Service Orientation | 4.0 | |
| Coordination | 3.9 | |
| Persuasion | 3.6 | |
| Time Management | 3.4 | |
| Complex Problem Solving | 3.3 | |
| Judgment and Decision Making | 3.3 | |
| Negotiation | 3.0 | |
| Instructing | 2.9 |
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 44.
Tools & technology
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 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.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 26.6% | |
| Master's Degree | 23.2% | |
| Bachelor's Degree | 15.3% | |
| Post-Secondary Certificate | 12.2% | |
| Some College Courses | 11.8% | |
| Associate's Degree (or other 2-year degree) | 10.9% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 9.0 | |
| Attention to Detail | 8.0 | |
| Integrity | 7.0 | |
| Cooperation | 6.0 | |
| Social Orientation | 5.0 | |
| Self-Control | 4.0 |
Career interests (Holland / RIASEC)
| Social | 6.6 | |
| Investigative | 4.1 | |
| Conventional | 3.8 |
Interest areas
| Social Service | 5.9 | |
| Health Care Service | 5.4 | |
| Professional Advising | 5.0 | |
| Personal Service | 5.0 | |
| Social Science | 3.8 | |
| Office Work | 3.6 | |
| Human Resources | 3.2 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $37,290 |
| 25th percentile | $40,740 |
| Median (50th) | $48,790 |
| 75th percentile | $62,280 |
| 90th percentile | $81,290 |
| People employed | 174,060 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 29-2099), not for the specialty alone.
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 | 155,430 | $48,230 |
| Educational Services · Sector | 3,190 | $61,290 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 3,170 | $51,750 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 1,770 | $40,030 |
| Management of Companies and Enterprises · Sector | 1,670 | $49,320 |
| Finance and Insurance · Sector | 1,340 | $53,250 |
| Professional, Scientific, and Technical Services · Sector | 1,310 | $62,190 |
| Temporary Help Services · National industry | 1,060 | $55,830 |
| Retail Trade · Sector | 900 | $47,610 |
| Wholesale Trade · Sector | 880 | $58,760 |
| Offices of Optometrists · National industry | 860 | $37,990 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 740 | $48,630 |
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 |
|---|---|---|
| Health Care and Social Assistance · Sector | 5.96× | 155,430 |
| Offices of Optometrists · National industry | 4.99× | 860 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 3.29× | 1,770 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 2.12× | 740 |
| Offices of Chiropractors · National industry | 2.06× | 340 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 1.54× | 420 |
| Direct Health and Medical Insurance Carriers · National industry | 0.63× | 320 |
| Management of Companies and Enterprises · Sector | 0.53× | 1,670 |
Related occupations
Part of the Healthcare & Human Services career cluster.
- Health Information Technologists and Medical Registrars · 29-9021.00 Compare →
- Medical Records Specialists · 29-2072.00 Compare →
- Community Health Workers · 21-1094.00 Compare →
- Health Informatics Specialists · 15-1211.01 Compare →
- Social and Human Service Assistants · 21-1093.00 Compare →
- Medical and Health Services Managers · 11-9111.00 Compare →
- Health Education Specialists · 21-1091.00 Compare →
- Nursing Assistants · 31-1131.00 Compare →
- Medical Assistants · 31-9092.00 Compare →
- Eligibility Interviewers, Government Programs · 43-4061.00 Compare →
- Clinical Nurse Specialists · 29-1141.04 Compare →
- Healthcare Social Workers · 21-1022.00 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 Patient Representatives — 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.
- Postsecondary nondegree award · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Health Professions and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 57th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Patient Representatives show 51st-percentile AI task overlap — and about 13,600 annual U.S. openings
- Patient Representatives rank in the 51st percentile (Moderate 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 13,600 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 (+5.2%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $48,790, across about 174,060 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Patient Representatives show 51st-percentile AI task overlap — and about 13,600 annual U.S. openings • Patient Representatives rank in the 51st percentile (Moderate 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 13,600 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 (+5.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $48,790, across about 174,060 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Patient Representatives". https://singulariki.com/roles/role-29-2099-08 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)
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Patient Representatives." 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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2099-08
APA
Singulariki. (2026). Patient Representatives. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2099-08
BibTeX
@misc{singulariki-role-29-2099-08,
title = {Patient Representatives},
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; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-2099-08}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.