# Nurse Practitioners

> Diagnose and treat acute, episodic, or chronic illness, independently or as part of a healthcare team. May focus on health promotion and disease prevention. May order, perform, or interpret diagnostic tests such as lab work and x rays. May prescribe medication. Must be registered nurses who have specialized graduate education.

- **SOC code:** 29-1171.00
- **Canonical URL:** https://singulariki.com/roles/role-29-1171-00
- **Also known as:** ACNP (Acute Care Nurse Practitioner), Family Nurse Practitioner (FNP), Gastroenterology Nurse Practitioner, Nurse Practitioner (NP), ARNP Specialist (Advanced Registered Nurse Practitioner Specialist), Adult Nurse Practitioner, Advanced Practice Registered Nurse (APRN), Family Practice Certified Advanced Registered Nurse Practitioner
- **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):
- Maintain complete and detailed records of patients' health care plans and prognoses.
- Develop treatment plans, based on scientific rationale, standards of care, and professional practice guidelines.
- Provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability.
- Analyze and interpret patients' histories, symptoms, physical findings, or diagnostic information to develop appropriate diagnoses.
- Diagnose or treat complex, unstable, comorbid, episodic, or emergency conditions in collaboration with other health care providers as necessary.
- Prescribe medication dosages, routes, and frequencies, based on such patient characteristics as age and gender.
- Diagnose or treat chronic health care problems, such as high blood pressure and diabetes.
- Prescribe medications based on efficacy, safety, and cost as legally authorized.
- Recommend diagnostic or therapeutic interventions with attention to safety, cost, invasiveness, simplicity, acceptability, adherence, and efficacy.
- Detect and respond to adverse drug reactions, with special attention to vulnerable populations such as infants, children, pregnant and lactating women, or older adults.
- Diagnose or treat acute health care problems, such as illnesses, infections, or injuries.
- Counsel patients about drug regimens and possible side effects or interactions with other substances, such as food supplements, over-the-counter (OTC) medications, or herbal remedies.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Medicine and Dentistry _(knowledge)_
- English Language _(knowledge)_
- Written Comprehension _(ability)_
- Problem Sensitivity _(ability)_
- Inductive Reasoning _(ability)_
- Biology _(knowledge)_
- Psychology _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Biology _(Specialized Skill)_
- Psychology _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(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)_

**Tools & technology:**
- eClinicalWorks EHR software _(hot technology)_
- Epic Systems _(hot technology)_
- MEDITECH software _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Allscripts Professional EHR
- Amkai AmkaiCharts

## AI exposure & outlook

- **AI task-overlap index:** 60th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 53rd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 82nd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 47th percentile (Moderate) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 40.1% growth (Growing fast); 29.5k annual openings; 320.4k → 448.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $129,210; 307,390 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 23% automation, 69% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Educate patients about self-management of acute or chronic illnesses, tailoring instructions to patients' individual circumstances. _(2.9% of measured AI use; learning)_
- Analyze and interpret patients' histories, symptoms, physical findings, or diagnostic information to develop appropriate diagnoses. _(2.8% of measured AI use; learning)_
- Provide patients or caregivers with assistance in locating health care resources. _(2.5% of measured AI use; learning)_
- Counsel patients about drug regimens and possible side effects or interactions with other substances such as food supplements, over-the-counter (OTC) medications, or herbal remedies. _(2.4% of measured AI use; learning)_
- Provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability. _(1.3% of measured AI use; learning)_
- Develop treatment plans based on scientific rationale, standards of care, and professional practice guidelines. _(0.9% of measured AI use; directive)_
- Prescribe medication dosages, routes, and frequencies based on patient characteristics such as age and gender. _(0.4% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me educate patients about self-management of acute or chronic illnesses, tailoring instructions to patients' individual circumstances.
- Help me analyze and interpret patients' histories, symptoms, physical findings, or diagnostic information to develop appropriate diagnoses.
- Help me provide patients or caregivers with assistance in locating health care resources.
- Help me counsel patients about drug regimens and possible side effects or interactions with other substances such as food supplements, over-the-counter (OTC) medications, or herbal remedies.
- Help me provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability.

## 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

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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-29-1171-00_