Patient Representatives
In short: today's best AI models could do about 55% 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 59% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 41% of the time, stays with people.
Assist patients in obtaining services, understanding policies and making health care decisions.
$50,290 a year (for the broader BLS group this job sits in).
Reviewed on October 3, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on9 h
- A person checks AI's work13 h
- Desk work AI can't do yet1 h
- Stays with people17 h
Patient Representatives, now: of a 40-hour week, AI could take on 9 hours, 13 hours become checking its work, 1 hours are desk work it can't do yet, and 17 hours stay with people.
The largest pieces: Report encounter data (about 9 h, a person checks); Produce newsletters and brochures (about 5 h); Keep up with community resources (about 3 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.
- 49%
- 10%
- 8%
- 30%
- 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.
What handing it over would take, now
The 55% 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, 16%. Today's estimate: 56%.
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, 0.032% went to this job's tasks in May 2026, the 278th largest of the 447 jobs that showed up at all; 2 of its 13 tasks showed up. Within each of Anthropic's methods, never across a change: 0.12% to 0.078% (released February and March 2025); 0.021% to 0.051% (August 2025 to February 2026); 0.023% to 0.032% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.12% | 148 of 708 | 7 of 13 |
| Released March 2025 | 0.078% | 193 of 703 | 7 of 13 |
| The week of Aug 4, 2025 (released September 2025) | 0.021% | 358 of 655 | 4 of 13 |
| The week of Nov 13, 2025 (released January 2026) | 0.052% | 231 of 672 | 5 of 13 |
| The week of Feb 5, 2026 (released March 2026) | 0.051% | 247 of 677 | 5 of 13 |
| April 2026 (released June 2026) | 0.023% | 314 of 434 | 2 of 13 |
| May 2026 (released June 2026) | 0.032% | 278 of 447 | 2 of 13 |
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.
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
41% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Coordinate communication, the conversation, 7%
- Keep up with community resources, the in-person work, 7%
- Interview patients about problems, the in-person work, 6%
- Keep abreast of the field, the in-person work, 4%
- Train staff and volunteers, the in-person work, 4%
- Produce newsletters and brochures, the hands-on work, 3%
What becomes checking the machine
34% 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. Another 25% is desk work that is small if wrong, which can be handed over with lighter checks.
- Report encounter data, costly if wrong, 23%
- Share risk and quality findings, costly if wrong, 3%
- Resolve patient complaints, costly if wrong, 3%
- Interview patients about problems, costly if wrong, 2%
- Set sliding scale charges, costly if wrong, 2%
- Refer patients to services, costly if wrong, 1%
What to learn
- Briefing a model and checking its drafts. About 49% 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.
- 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.
- The conversations. About 38% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Handling protected records. Much of the work touches protected personal records: knowing what may be shared with a model, and how, is part of the job.
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 . 13 tasks from .
| Task | ||||
|---|---|---|---|---|
| Collect and report data on topics, such as patient encounters or inter-institutional problems, making recommendations for change when appropriate.Data on patient encounters collected and written up with recommendations.Done daily by most who do it. | 23% | 4.2 h1.7 h to 1 work day | Documents 70%, systems 30% | 97%Half by now |
| Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff.Materials written and handed out to patients and staff.Done more than monthly by most who do it. AI observed on this task. | 17% | 6.7 h2.5 h to 1.7 work days | Documents 80%, hands-on 20% | 67%Desk part half by now |
| Maintain knowledge of community services and resources available to patients.Reading and remembering what services exist.Done daily by most who do it. | 13% | 1.3 h25 min to 3.3 h | Documents 50%, in person 50% | 50%Desk part half by now |
| Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.Reading, courses and conferences.Done more than monthly by most who do it. AI observed on this task. | 9% | 2.5 h50 min to 6.7 h | Documents 50%, in person 50% | 48%Desk part half by now |
| Interview patients or their representatives to identify problems relating to care.Talking with the patient or family about what went wrong, with notes.Done daily by most who do it. | 8% | 50 min25 min to 1.7 h | In person 80%, documents 20% | 20%Desk part half by now |
| Coordinate communication between patients, family members, medical staff, administrative staff, or regulatory agencies.Carrying messages between patients, families, staff and agencies, by phone and in person.Done several times a day by most who do it. | 7% | 38 min13 min to 1.7 h | Conversation 50%, in person 50% | Stays with people |
| Investigate and direct patient inquiries or complaints to appropriate medical staff members and follow up to ensure satisfactory resolution.Complaints taken, passed to the right staff and followed up, with the record.Done more than monthly by most who do it. | 6% | 1.7 h25 min to 4.2 h | Conversation 50%, documents 30%, systems 20% | 48%Desk part half by now |
| Provide consultation or training to volunteers or staff on topics, such as guest relations, patients' rights, or medical issues.Sessions on guest relations and patients' rights, in the hospital.Done more than monthly by most who do it. | 4% | 2.5 h50 min to 6.7 h | In person 80%, documents 20% | 19%Desk part half by now |
| Identify and share research, recommendations, or other information regarding legal liabilities, risk management, or quality of care.Research and recommendations on liability and quality written and discussed.Done more than yearly by most who do it. | 4% | 2.5 h50 min to 5 h | Documents 80%, conversation 20% | 79%Desk part half by now |
| Refer patients to appropriate health care services or resources.Telling the patient where to turn and recording the referral.Done several times a day by most who do it. | 4% | 21 min8 min to 50 min | In person 70%, systems 30% | 30%Desk part half by now |
| Explain policies, procedures, or services to patients using medical or administrative knowledge.Policies and services explained face to face or by phone.Done more than monthly by most who do it. AI observed on this task. | 2% | 21 min8 min to 50 min | In person 70%, conversation 30% | Stays with people |
| Analyze patients' abilities to pay to determine charges on a sliding scale.Income and means reviewed and the charge entered.Done more than monthly by most who do it. | 2% | 29 min13 min to 1.3 h | Documents 70%, systems 30% | 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. 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 Information Technologists and Medical Registrars35% now, 91% by 2028
- Medical Records Specialists94% now, 94% by 2028
- Community Health Workers21% now, 21% by 2028
- Health Informatics Specialists40% now, 95% by 2028
- Social and Human Service Assistants24% now, 24% by 2028
- Medical and Health Services Managers31% now, 63% 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 Patient Representatives is within reach of AI now?
- An estimated 56% of the working time is within reach of AI models now and 59% by the end of 2028, on METR's long-run pace at four in five. 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 Patient Representatives 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: Report encounter data (97% of the task's time now); Produce newsletters and brochures (67% of the task's time now, 80% by the end of 2028); and Keep up with community resources (50% of the task's time now).
- Which tasks of Patient Representatives stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Coordinate communication; Explain policies to patients; and Teach use of home equipment. Together such tasks are about 11% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Patient Representatives learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are briefing a model and checking its drafts; reviewing work you did not do yourself; and the conversations. By the end of 2028 on the long-run pace at four in five, about 41% of the working time stays with people, 34% becomes checking a model's work and 25% 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 Patient Representatives?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.032% went to this job's tasks, the 278th largest share of the 447 jobs that showed up; 2 of its 13 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 4%. 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 Patient Representatives?
- 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 13 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 October 3, 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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