Health Informatics Specialists
In short: today's best AI models could do about 40% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 95% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 0% of the time, stays with people.
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.
$105,850 a year (for the broader BLS group this job sits in).
A typical 40-hour week
Not yet reviewed task by task- AI could take on16 h
- A person checks AI's work0 h
- Desk work AI can't do yet24 h
- Stays with people0 h
Health Informatics Specialists, now: of a 40-hour week, AI could take on 16 hours, 0 hours become checking its work, 24 hours are desk work it can't do yet, and 0 hours stay with people.
The largest pieces: Analyze and interpret patient, nursing, or information systems data to improve nursing services (about 3 h); 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 (about 2 h); Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques (about 2 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 100%
- 0%
- 0%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 5%. Today's estimate: 40%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 17 tasks showed up. Within each of Anthropic's methods, never across a change: 0.2% to 0.18% (released February and March 2025); 0.056% to 0.072% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.2% | 95 of 708 | 9 of 17 |
| Released March 2025 | 0.18% | 98 of 703 | 11 of 17 |
| The week of Aug 4, 2025 (released September 2025) | 0.056% | 232 of 655 | 7 of 17 |
| The week of Nov 13, 2025 (released January 2026) | 0.062% | 218 of 672 | 8 of 17 |
| The week of Feb 5, 2026 (released March 2026) | 0.072% | 209 of 677 | 9 of 17 |
| April 2026 (released June 2026) | none | n/a | 0 of 17 |
| May 2026 (released June 2026) | none | n/a | 0 of 17 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 1% of this job's working time as physical work. For 0% of the working time, a robot has been shown doing most of the task somewhere. 0.00 of 3.
- Not physical 99%
- No robot shown 1%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 17 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Analyze and interpret patient, nursing, or information systems data to improve nursing services.Done daily by most who do it. | 10% | 6.7 h2.5 h to 2.5 work days | 69%Half by now | |
| 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.Done daily by most who do it. | 10% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems.Done several times a day by most who do it. | 10% | 1.7 work days3.3 h to 4.2 work days | 31%Half by Mar 2027 | |
| Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.Done more than yearly by most who do it. AI observed on this task. | 10% | 1.7 work days3.3 h to 4.2 work days | 31%Half by Mar 2027 | |
| Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management.Done more than monthly by most who do it. | 10% | 2.1 work days3.3 h to 1.3 work weeks | 18%Half by Jul 2027 | |
| Design, conduct, or provide support to nursing informatics research.Done more than yearly by most who do it. | 10% | 4.2 work days6.7 h to 3.5 work weeks | 5%Half by Apr 2028 | |
| 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.Done more than weekly by most who do it. AI observed on this task. | 10% | 1.3 work weeks1.7 work days to 4.2 work weeks | 3%Half by Apr 2028 | |
| Develop or deliver training programs for health information technology, creating operating manuals as needed.Done more than yearly by most who do it. | 8% | 1.7 work days3.3 h to 4.2 work days | 31%Half by Mar 2027 | |
| Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques.Done more than monthly by most who do it. | 5% | 2.5 h1.3 h to 6.7 h | 99%Half by now | |
| Analyze computer and information technologies to determine applicability to nursing practice, education, administration, and research.Done daily by most who do it. | 4% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public.Done more than monthly by most who do it. | 3% | 3.3 h1.7 h to 1.7 work days | 91%Half by now | |
| Identify, collect, record, or analyze data relevant to the nursing care of patients.Done daily by most who do it. | 3% | 2.1 h50 min to 5 h | 99%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Health Information Technologists and Medical Registrars35% now, 91% by 2028
- Medical and Health Services Managers31% now, 63% by 2028
- Clinical Data Managers53% now, 90% by 2028
- Health Education Specialists31% now, 75% by 2028
- Nurse Practitioners46% now, 46% by 2028
- Medical Records Specialists94% now, 94% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Health Informatics Specialists is within reach of AI now?
- An estimated 40% of the working time is within reach of AI models now and 95% by the end of 2028, on METR's long-run pace at four in five (78% to 99% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Health Informatics Specialists come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Analyze and interpret patient, nursing, or information systems data to improve nursing services (69% of the task's time now, 100% by the end of 2028); 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 (55% of the task's time now, 100% by the end of 2028); and Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques (99% of the task's time now).
- Which tasks of Health Informatics Specialists stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Plan, install, repair, or troubleshoot telehealth technology applications or systems in homes. Together such tasks are about 0% of the working time.
- Do people already use AI for the work of Health Informatics Specialists?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 28%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Health Informatics Specialists?
- Anthropic's robot exposure rating (September 2026) finds 1% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 0% of the working time. Its index is 0.00 of 3. A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 17 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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