AI Automation Index

Will AI Replace Health Informatics Specialists?

Task-level automation exposure for Health Informatics Specialists: 17 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

64% weighted task index

17 of 17 tasks scored

Median Salary

$105,850 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

519,530 people hold this job — size, not growth

Projected 2025–35

+7.9% employment change

32,900 openings a year · BLS line item

Pay by state

BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$59,430 – $134,630

Highest medians

Rhode Island $134,630

Washington $129,410

Massachusetts $128,240

Colorado $127,750

California $127,720

Lowest medians

Virgin Islands $59,430

Guam $59,900

Puerto Rico $63,730

Idaho $75,310

Arkansas $81,760

State figures come from the 15-1211 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 64%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 75%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 7%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 19/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 76%

13 tasks

Medium exposure (≥ 35%) 24%

4 tasks

Low exposure (below 35%) 0%

0 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#18090 · Core · 68% automatable

Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques.

text generation — Drafting project updates is AI-assisted; delivery is human

Communicate project information to others.

#18092 · Core · 57% automatable

Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems.

decision support — AI advises on IT solutions; humans implement and validate

Design healthcare-related software applications. Apply information technology to solve business or other applied problems.

#18097 · Core · 65% automatable

Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.

text generation — AI drafts security policies; human approves

Implement security measures for computer or information systems. Develop computer or information security policies or procedures.

#18094 · Core · 72% automatable

Analyze and interpret patient, nursing, or information systems data to improve nursing services.

data analysis — Statistical analysis of health data; clinician verifies

Analyze health-related data.

#18101 · Core · 76% automatable

Identify, collect, record, or analyze data relevant to the nursing care of patients.

text generation — Document routine operational activities from inputs

Analyze health-related data. Document operational activities.

#18096 · Core · 60% automatable

Apply knowledge of computer science, information science, nursing, and informatics theory to nursing practice, education, administration, or research, in collaboration with other health informatics specialists.

decision support — AI advises on IT solutions; humans implement and validate

Apply information technology to solve business or other applied problems.

#18093 · Core · 63% automatable

Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management.

decision support — Software utility evaluation aided by research and testing

Evaluate utility of software or hardware technologies. Design healthcare-related software applications.

#18088 · Core · 60% automatable

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.

decision support — Software utility evaluation aided by research and testing

Test computer system operations to ensure proper functioning. Evaluate utility of software or hardware technologies. Design healthcare-related software applications.

#18089 · Core · 55% automatable

Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.

information retrieval — Technical public assistance partly automatable; trust needs human

Provide technical information or assistance to public.

#18095 · Core · 70% automatable

Analyze computer and information technologies to determine applicability to nursing practice, education, administration, and research.

decision support — Software utility evaluation aided by research and testing

Evaluate utility of software or hardware technologies.

#18100 · Core · 70% automatable

Develop strategies, policies or procedures for introducing, evaluating, or modifying information technology applied to nursing practice, administration, education, or research.

text generation — AI drafts implementation guidelines; human tailors

Develop guidelines for system implementation.

#18102 · Core · 80% automatable

Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics.

information retrieval — AI scans trend sources; human weighs relevance

Update knowledge about emerging industry or technology trends.

#18099 · Core · 55% automatable

Develop or deliver training programs for health information technology, creating operating manuals as needed.

interpersonal — Software training content AI-generatable, live coaching human

Train others in computer interface or software use.

#18098 · Core · 49% automatable

Design, conduct, or provide support to nursing informatics research.

decision support — Study designs aided; scientific accountability human

Conduct research to gain information about products or processes. Design research studies to obtain scientific information.

#18104 · Core · 60% automatable

Inform local, state, national, and international health policies related to information management and communication, confidentiality and security, patient safety, infrastructure development, and economics.

decision support — AI advises on IT solutions; humans implement and validate

Apply information technology to solve business or other applied problems.

#18103 · Core · 70% automatable

Provide consultation to nurses regarding hardware or software configuration.

information retrieval — Hardware recommendations are knowledge-based with review

Provide recommendations to others about computer hardware.

#18091 · Supplemental · 62% automatable

Plan, install, repair, or troubleshoot telehealth technology applications or systems in homes.

decision support — Software support is largely diagnosable with human review

Install computer software. Troubleshoot issues with computer applications or systems. Provide technical support for software maintenance or use.

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Community Sentiment

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Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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