Health Information Technologists and Medical Registrars
In short: today's best AI models could do about 35% 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 91% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 7% of the time, stays with people.
Apply knowledge of healthcare and information systems to assist in the design, development, and continued modification and analysis of computerized healthcare systems. Abstract, collect, and analyze treatment and followup information of patients. May educate staff and assist in problem solving to promote the implementation of the healthcare information system. May design, develop, test, and implement databases with complete history, diagnosis, treatment, and health status to help monitor diseases.
38,100 people do this job in the US. $68,020 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on14 h
- A person checks AI's work0 h
- Desk work AI can't do yet23 h
- Stays with people3 h
Health Information Technologists and Medical Registrars, now: of a 40-hour week, AI could take on 14 hours, 0 hours become checking its work, 23 hours are desk work it can't do yet, and 3 hours stay with people.
The largest pieces: Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users (about 2 h); Evaluate and recommend upgrades or improvements to existing computerized healthcare systems (about 2 h); Develop in-service educational materials (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.
- 93%
- 3%
- 3%
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, 6%. Today's estimate: 35%.
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 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.041% to 0.035% (released February and March 2025); 0.016% to 0.01% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.041% | 305 of 708 | 6 of 16 |
| Released March 2025 | 0.035% | 329 of 703 | 7 of 16 |
| The week of Aug 4, 2025 (released September 2025) | 0.016% | 392 of 655 | 4 of 16 |
| The week of Nov 13, 2025 (released January 2026) | 0.013% | 446 of 672 | 5 of 16 |
| The week of Feb 5, 2026 (released March 2026) | 0.01% | 489 of 677 | 4 of 16 |
| April 2026 (released June 2026) | none | n/a | 0 of 16 |
| May 2026 (released June 2026) | none | n/a | 0 of 16 |
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 almost none of this job's working time as physical work, so robots do not reach it.
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 . 16 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Design databases to support healthcare applications, ensuring security, performance and reliability. | 35% | 4.2 work days6.7 h to 1.7 work weeks | 7%Half by Nov 2027 | |
| Evaluate and recommend upgrades or improvements to existing computerized healthcare systems. | 14% | 1.7 work days3.3 h to 4.2 work days | 31%Half by Mar 2027 | |
| Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information. | 14% | 1.7 work days3.3 h to 1 work week | 28%Half by Apr 2027 | |
| Develop in-service educational materials. | 7% | 6.7 h1.7 h to 2.1 work days | 61%Half by now | |
| Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users. AI observed on this task. | 7% | 6.7 h2.5 h to 2.5 work days | 69%Half by now | |
| Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds. | 3% | 3.3 h50 min to 6.7 h | 91%Half by now | |
| Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization. | 3% | 3.3 h50 min to 1 work day | Stays with people | |
| Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department. | 3% | 3.3 h50 min to 1 work day | 86%Half by now | |
| Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system. | 3% | 3.3 h50 min to 1.3 work days | 80%Half by now | |
| Train medical records staff. | 3% | 3.3 h50 min to 1.3 work days | Stays with people | |
| Write or maintain archived procedures, procedural codes, or queries for applications. AI observed on this task. | 3% | 3.3 h50 min to 6.7 h | 91%Half by now | |
| Protect the security of medical records to ensure that confidentiality is maintained. | 0.9% | 50 min13 min to 1.7 h | 100%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.
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Health Information Technologists and Medical Registrars is within reach of AI now?
- An estimated 35% of the working time is within reach of AI models now and 91% by the end of 2028, on METR's long-run pace at four in five (73% to 93% 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 Information Technologists and Medical Registrars 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: Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users (69% of the task's time now, 100% by the end of 2028); Evaluate and recommend upgrades or improvements to existing computerized healthcare systems (31% of the task's time now, 100% by the end of 2028); and Develop in-service educational materials (61% of the task's time now, 100% by the end of 2028).
- Which tasks of Health Information Technologists and Medical Registrars stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization; and Train medical records staff. Together such tasks are about 7% of the working time.
- Do people already use AI for the work of Health Information Technologists and Medical Registrars?
- 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 31%. 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 Information Technologists and Medical Registrars?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 16 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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