# Preventive Medicine Physicians

> Apply knowledge of general preventive medicine and public health issues to promote health care to groups or individuals, and aid in the prevention or reduction of risk of disease, injury, disability, or death. May practice population-based medicine or diagnose and treat patients in the context of clinical health promotion and disease prevention.

- **SOC code:** 29-1229.05
- **Canonical URL:** https://singulariki.com/roles/role-29-1229-05
- **Also known as:** Occupational Medicine Physician, Physician, Public Health Officer, Public Health Physician, Occupational Physician, Preventive Medicine Physician, Primary Clinician, Aerospace Medicine Physician
- **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):
- Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine.
- Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.
- Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members.
- Identify groups at risk for specific preventable diseases or injuries.
- Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks.
- Perform epidemiological investigations of acute and chronic diseases.
- Evaluate the effectiveness of prescribed risk reduction measures or other interventions.
- Direct public health education programs dealing with topics such as preventable diseases, injuries, nutrition, food service sanitation, water supply safety, sewage and waste disposal, insect control, and immunizations.
- Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities.
- Teach or train medical staff regarding preventive medicine issues.
- Coordinate or integrate the resources of health care institutions, social service agencies, public safety workers, or other organizations to improve community health.
- Prepare preventive health reports, including problem descriptions, analyses, alternative solutions, and recommendations.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Medicine and Dentistry _(knowledge)_
- Biology _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Oral Expression _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- English Language _(knowledge)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_

**Skills in demand:**
- Biology _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Active Learning _(Common Skill)_

**Tools & technology:**
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- R _(hot technology)_
- SAS _(hot technology)_
- The MathWorks MATLAB _(hot technology)_
- Biostatistical software
- Centers for Disease Control and Prevention Epi Info
- Database software
- Email software

## AI exposure & outlook

- **AI task-overlap index:** 59th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **LLM task exposure, γ (OpenAI / Eloundou):** 84th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 35th percentile (Moderate) — source: microsoft_applicability.
- **Projected employment (BLS 2024–34):** 2.5% growth (About average); 9.6k annual openings; 340.7k → 349.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median —; 315,360 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

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-29-1229-05_