Medical and Health Services Managers
In short: today's best AI models could do about 31% 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 63% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 34% of the time, stays with people.
Plan, direct, or coordinate medical and health services in hospitals, clinics, managed care organizations, public health agencies, or similar organizations.
597,080 people do this job in the US. $123,860 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on0 h
- A person checks AI's work12 h
- Desk work AI can't do yet14 h
- Stays with people14 h
Medical and Health Services Managers, now: of a 40-hour week, AI could take on 0 hours, 12 hours become checking its work, 14 hours are desk work it can't do yet, and 14 hours stay with people.
The largest pieces: Develop and maintain record systems (about 2 h, a person checks); Set objectives and criteria for units (about 2 h, a person checks); Monitor use of beds, services and staff (about 1 h, a person checks).
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.
- 53%
- 13%
- 24%
- 9%
- 1%
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.
What handing it over would take, now
The 31% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
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, 7%. Today's estimate: 31%.
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, 0.053% went to this job's tasks in May 2026, the 230th largest of the 447 jobs that showed up at all; 2 of its 18 tasks showed up. Within each of Anthropic's methods, never across a change: 0.068% to 0.072% (released February and March 2025); 0.13% to 0.057% (August 2025 to February 2026); 0.045% to 0.053% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.068% | 230 of 708 | 8 of 18 |
| Released March 2025 | 0.072% | 212 of 703 | 5 of 18 |
| The week of Aug 4, 2025 (released September 2025) | 0.13% | 134 of 655 | 6 of 18 |
| The week of Nov 13, 2025 (released January 2026) | 0.062% | 216 of 672 | 6 of 18 |
| The week of Feb 5, 2026 (released March 2026) | 0.057% | 235 of 677 | 6 of 18 |
| April 2026 (released June 2026) | 0.045% | 234 of 434 | 2 of 18 |
| May 2026 (released June 2026) | 0.053% | 230 of 447 | 2 of 18 |
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 2% 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 98%
- No robot shown 2%
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.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
34% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Manage change in care delivery, the conversation, 7%
- Plan and administer programs and services, the conversation, 7%
- Develop and expand health programs, the conversation, 6%
- Direct and evaluate facility staff, the in-person work, 3%
- Recruit, hire and train personnel, the conversation, 2%
- Consult with medical and community groups, the conversation, 2%
What becomes checking the machine
62% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it.
- Develop and maintain record systems, severe if wrong, 14%
- Develop and expand health programs, costly if wrong, 7%
- Manage change in care delivery, costly if wrong, 7%
- Plan and administer programs and services, costly if wrong, 6%
- Set objectives and criteria for units, costly if wrong, 5%
- Run fiscal operations, costly if wrong, 4%
What to learn
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Briefing a model and checking its drafts. About 53% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- The conversations. About 33% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
- Running AI inside the business systems. About 13% of the time is work inside business systems, which a model can do only once it is connected: knowing the systems well enough to set that up and watch it.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 18 tasks from .
| Task | ||||
|---|---|---|---|---|
| Develop and maintain computerized record management systems to store and process data, such as personnel activities and information, and to produce reports.Setting up and running the records system, with its design on paper.Done daily by most who do it. | 15% | 6.7 h1.7 h to 4.2 work days | Systems 60%, documents 40% | 40%Half by Jan 2027 |
| Manage change in integrated health care delivery systems, such as work restructuring, technological innovations, and shifts in the focus of care.Plans on paper, and the meetings that carry them out.Done more than monthly by most who do it. | 15% | 2.1 work days3.3 h to 1.7 work weeks | Documents 50%, conversation 50% | 7%Desk part half by Oct 2027 |
| Plan, implement, and administer programs and services in a health care or medical facility, including personnel administration, training, and coordination of medical, nursing and physical plant staff.Plans and administration on paper, with meetings and time among the staff.Done more than weekly by most who do it. | 15% | 4.2 work days6.7 h to 2.5 work weeks | Documents 50%, conversation 30%, in person 20% | 3%Desk part half by Feb 2028 |
| Develop or expand and implement medical programs or health services that promote research, rehabilitation, and community health.Program design on paper, with outside groups consulted.Done more than yearly by most who do it. | 15% | 4.2 work days6.7 h to 3.3 work weeks | Documents 60%, conversation 40% | 3%Desk part half by Apr 2028 |
| Establish objectives and evaluative or operational criteria for units managed.Planning on paper.Done more than monthly by most who do it. | 5% | 5 h1.7 h to 1.7 work days | Documents 100% | 80%Half by now |
| Direct, supervise and evaluate work activities of medical, nursing, technical, clerical, service, maintenance, and other personnel.Mostly conversation with the staff in the facility, plus reading and deciding.Done daily by most who do it. | 4% | 1.3 h38 min to 3.3 h | In person 60%, documents 40% | 40%Desk part half by now |
| Conduct and administer fiscal operations, including accounting, planning budgets, authorizing expenditures, establishing rates for services, and coordinating financial reporting.Budgets and rates on paper, and approvals in the finance system.Done more than monthly by most who do it. | 4% | 6.7 h1.7 h to 4.2 work days | Documents 60%, systems 40% | 40%Half by Jan 2027 |
| Develop and implement organizational policies and procedures for the facility or medical unit.Writing policy, with meetings to shape it.Done more than yearly by most who do it. | 4% | 5 h1.7 h to 2.1 work days | Documents 70%, conversation 30% | 51%Desk part half by now |
| Direct or conduct recruitment, hiring, and training of personnel.Interviews and training sessions, with the write-ups.Done more than yearly by most who do it. | 4% | 5 h1.7 h to 2.1 work days | Conversation 60%, documents 40% | 29%Desk part half by now |
| Monitor the use of diagnostic services, inpatient beds, facilities, and staff to ensure effective use of resources and assess the need for additional staff, equipment, and services.Reading usage reports drawn from the facility's systems.Done daily by most who do it. | 3% | 2.5 h50 min to 6.7 h | Documents 60%, systems 40% | 96%Half by now |
| Develop instructional materials and conduct in-service and community-based educational programs.Writing the material, and teaching sessions in person.Done more than yearly by most who do it. AI observed on this task. | 3% | 5 h1.7 h to 1.7 work days | Documents 50%, in person 50% | 40%Desk part half by now |
| Establish work schedules and assignments for staff, according to workload, space, and equipment availability.Building the schedule in a system, with some planning and telling people.Done daily by most who do it. | 3% | 1.7 h38 min to 5 h | Systems 50%, documents 30%, conversation 20% | 79%Desk part 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. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% 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 Informatics Specialists40% now, 95% by 2028
- Health Education Specialists31% now, 75% by 2028
- Clinical Nurse Specialists42% now, 74% by 2028
- Social and Community Service Managers36% now, 51% by 2028
- Health Specialties Teachers, Postsecondary26% now, 49% by 2028
- Management Analysts37% now, 85% by 2028
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 Medical and Health Services Managers is within reach of AI now?
- An estimated 31% of the working time is within reach of AI models now and 63% by the end of 2028, on METR's long-run pace at four in five (50% to 66% 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 Medical and Health Services Managers 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: Develop and maintain record systems (40% of the task's time now, 99% by the end of 2028); Set objectives and criteria for units (80% of the task's time now, 100% by the end of 2028); and Monitor use of beds, services and staff (96% of the task's time now).
- Which tasks of Medical and Health Services Managers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Consult with medical and community groups. Together such tasks are about 2% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Medical and Health Services Managers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; briefing a model and checking its drafts; and the conversations. By the end of 2028 on the long-run pace at four in five, about 34% of the working time stays with people, 62% becomes checking a model's work and 0% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Medical and Health Services Managers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.053% went to this job's tasks, the 230th largest share of the 447 jobs that showed up; 2 of its 18 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. 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 Medical and Health Services Managers?
- Anthropic's robot exposure rating (September 2026) finds 2% 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 18 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), 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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