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 →Occupation · SOC 15-1211.01
Apply knowledge of nursing and informatics to assist in the design, development, and ongoing modification of computerized health care systems. May educate staff and assist in problem solving to promote the implementation of the health care system.
Also called: Clinical Informaticist · Clinical Informatics Specialist · Health Informaticist · Nursing Informatics Specialist · Clinical Electronic Health Record Nurse (Clinical EHR Nurse) · Clinical Informatics Analyst · Clinical Informatics Nurse · Nursing Informatics Officer · RN Clinical Information Systems Coordinator (Registered Nurse Clinical Information Systems Coordinator) · RN Clinical Information Systems Educator (Registered Nurse Clinical Information Systems Educator) · Clinical Quality Auditor · Clinical Specialist
Job family: Computer and Mathematical Occupations
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/roles/role-15-1211-01/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
95th-percentile task overlap — yet about 34,200 openings a year (+8.7% projected, BLS) . What exposure means →
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.
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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 90th | 1.0 | |
| AI assistant applicability (Microsoft) High | 91st | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), 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.
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.
| Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts. | 6.8% | |
| Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information. | 5.5% | |
| Analyze and interpret patient, nursing, or information systems data to improve nursing services. | 1.2% | |
| Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public. | 0.3% | |
| Develop or deliver training programs for health information technology, creating operating manuals as needed. | 0.3% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +8.7% by 2034 |
| Projected annual openings | 34,200 |
| Employment 2024 → 2034 | 521,100 → 566,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Reading Comprehension | 4.4 | |
| Active Listening | 4.0 | |
| Writing | 4.0 | |
| Speaking | 4.0 | |
| Critical Thinking | 4.0 | |
| Active Learning | 3.8 | |
| Learning Strategies | 3.8 | |
| Monitoring | 3.6 |
| Computers and Electronics | 4.2 | |
| English Language | 4.0 | |
| Medicine and Dentistry | 3.7 | |
| Education and Training | 3.7 | |
| Customer and Personal Service | 3.5 | |
| Administration and Management | 3.5 | |
| Mathematics | 3.2 | |
| Design | 3.2 | |
| Psychology | 3.1 |
| Complex Problem Solving | 4.1 | |
| Judgment and Decision Making | 3.9 | |
| Systems Analysis | 3.8 | |
| Systems Evaluation | 3.8 | |
| Coordination | 3.5 | |
| Instructing | 3.4 | |
| Time Management | 3.4 | |
| Social Perceptiveness | 3.1 | |
| Service Orientation | 3.1 |
| Written Comprehension | 4.1 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Oral Comprehension | 3.9 | |
| Fluency of Ideas | 3.9 | |
| Originality | 3.9 | |
| Information Ordering | 3.8 | |
| Category Flexibility | 3.8 | |
| Near Vision | 3.8 | |
| Speech Clarity | 3.8 | |
| Speech Recognition | 3.6 |
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.
Showing the top 40 of 62.
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.
What to study: Computer and Information Sciences and Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Master's Degree | 52.4% | |
| Bachelor's Degree | 19.1% | |
| Post-Baccalaureate Certificate | 9.5% | |
| Post-Secondary Certificate | 4.8% | |
| Associate's Degree (or other 2-year degree) | 4.8% | |
| Post-Master's Certificate | 4.8% | |
| Doctoral Degree | 4.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 8.0 | |
| Attention to Detail | 7.0 | |
| Integrity | 6.0 | |
| Cautiousness | 5.0 | |
| Intellectual Curiosity | 4.0 | |
| Cooperation | 3.0 |
| Investigative | 6.3 | |
| Conventional | 4.7 | |
| Social | 4.5 |
| Information Technology | 5.8 | |
| Health Care Service | 3.8 | |
| Life Science | 3.7 | |
| Mathematics/Statistics | 3.5 | |
| Medical Science | 3.3 | |
| Teaching/Education | 3.1 | |
| Management/Administration | 3.0 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $63,160 |
| 25th percentile | $80,900 |
| Median (50th) | $103,790 |
| 75th percentile | $132,360 |
| 90th percentile | $166,030 |
| People employed | 497,800 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 15-1211), not for the specialty alone.
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 |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 168,670 | $105,750 |
| Finance and Insurance · Sector | 63,990 | $104,910 |
| Management of Companies and Enterprises · Sector | 59,610 | $109,210 |
| Information · Sector | 36,050 | $107,630 |
| Health Care and Social Assistance · Sector | 32,810 | $98,600 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 24,760 | $105,590 |
| Manufacturing · Sector | 23,750 | $109,680 |
| Educational Services · Sector | 20,170 | $88,680 |
| Wholesale Trade · Sector | 13,950 | $106,280 |
| Temporary Help Services · National industry | 12,770 | $116,320 |
| Engineering Services · National industry | 11,100 | $124,390 |
| Direct Health and Medical Insurance Carriers · National industry | 10,890 | $102,580 |
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 |
|---|---|---|
| Direct Health and Medical Insurance Carriers · National industry | 7.51× | 10,890 |
| Management of Companies and Enterprises · Sector | 6.57× | 59,610 |
| Professional, Scientific, and Technical Services · Sector | 4.85× | 168,670 |
| Information · Sector | 3.84× | 36,050 |
| Research and Development in the Social Sciences and Humanities · National industry | 3.77× | 740 |
| Finance and Insurance · Sector | 3.18× | 63,990 |
| Engineering Services · National industry | 2.97× | 11,100 |
| Fossil Fuel Electric Power Generation · National industry | 2.74× | 630 |
Part of the Digital Technology career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Health Informatics Specialists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Health Informatics Specialists show 95th-percentile AI task overlap — and about 34,200 annual U.S. openings
Health Informatics Specialists show 95th-percentile AI task overlap — and about 34,200 annual U.S. openings • Health Informatics Specialists rank in the 95th 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 34,200 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 growing fast (+8.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $103,790, across about 497,800 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Health Informatics Specialists". https://singulariki.com/roles/role-15-1211-01 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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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.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Health Informatics Specialists." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-15-1211-01
Singulariki. (2026). Health Informatics Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-1211-01
@misc{singulariki-role-15-1211-01,
title = {Health Informatics Specialists},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-1211-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.