# Patient Representatives

> Assist patients in obtaining services, understanding policies and making health care decisions.

- **SOC code:** 29-2099.08
- **Canonical URL:** https://singulariki.com/roles/role-29-2099-08
- **Also known as:** Case Manager, Medicaid Service Coordinator (MSC), Patient Advocate, Patient Service Representative, Access Representative, Admissions Coordinator, Patient Access Coordinator, Patient Access Specialist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Coordinate communication between patients, family members, medical staff, administrative staff, or regulatory agencies.
- Interview patients or their representatives to identify problems relating to care.
- Refer patients to appropriate health care services or resources.
- Maintain knowledge of community services and resources available to patients.
- Explain policies, procedures, or services to patients using medical or administrative knowledge.
- Investigate and direct patient inquiries or complaints to appropriate medical staff members and follow up to ensure satisfactory resolution.
- Provide consultation or training to volunteers or staff on topics, such as guest relations, patients' rights, or medical issues.
- Analyze patients' abilities to pay to determine charges on a sliding scale.
- Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.
- Identify and share research, recommendations, or other information regarding legal liabilities, risk management, or quality of care.
- Collect and report data on topics, such as patient encounters or inter-institutional problems, making recommendations for change when appropriate.
- Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Oral Comprehension _(ability)_
- Active Listening _(essential_skill)_
- Oral Expression _(ability)_
- Social Perceptiveness _(transferable_skill)_
- Service Orientation _(transferable_skill)_
- Reading Comprehension _(essential_skill)_
- Speaking _(essential_skill)_
- Coordination _(transferable_skill)_
- Medicine and Dentistry _(knowledge)_
- Sociology and Anthropology _(knowledge)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Psychology _(Specialized Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Time Management _(Common Skill)_

**Tools & technology:**
- Epic Systems _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- eClinicalWorks EHR software _(hot technology)_
- Google Docs _(hot technology)_
- Henry Schein Dentrix _(hot technology)_
- MEDITECH software _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 51st percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 40th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 86th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 29th percentile (Low) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.2% growth (About average); 13.6k annual openings; 178.8k → 188.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $48,790; 174,060 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-29-2099-08_