Family Medicine Physicians
Healthcare Practitioners and Technical Occupations- O*NET-SOC code
- 29-1215.00
Diagnose, treat, and provide preventive care to individuals and families across the lifespan. May refer patients to specialists when needed for further diagnosis or treatment.
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.29
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 2 hidden tasks13 rated tasks · 11 tasks with β ≥ 0.5 (84.6%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- 1 rated task is not in the O*NET 31.0 task list; its score is kept as published for O*NET 27.2.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury.O*NET Task ID 7771 | 0.5 |
Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition.O*NET Task ID 7772 | 0.5 |
Monitor patients' conditions and progress and reevaluate treatments as necessary.O*NET Task ID 7773 | 0.5 |
Collect, record, and maintain patient information, such as medical history, reports, or examination results.O*NET Task ID 7774 | 0.5 |
Explain procedures and discuss test results or prescribed treatments with patients.O*NET Task ID 7775 | 0.5 |
Advise patients and community members concerning diet, activity, hygiene, and disease prevention.O*NET Task ID 7776 | 0.5 |
Refer patients to medical specialists or other practitioners when necessary.O*NET Task ID 7777 | 0.5 |
Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.O*NET Task ID 7778 | 0.5 |
Plan, implement, or administer health programs or standards in hospitals, businesses, or communities for prevention or treatment of injury or illness.O*NET Task ID 7782 | 0.5 |
Train residents, medical students, and other health care professionals.O*NET Task ID 20120 | 0.5 |
Prepare government or organizational reports which include birth, death, and disease statistics, workforce evaluations, or medical status of individuals.O*NET Task ID 20121 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (12)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury. | Core |
| Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition. | Core |
| Monitor patients' conditions and progress and reevaluate treatments as necessary. | Core |
| Collect, record, and maintain patient information, such as medical history, reports, or examination results. | Core |
| Explain procedures and discuss test results or prescribed treatments with patients. | Core |
| Advise patients and community members concerning diet, activity, hygiene, and disease prevention. | Core |
| Refer patients to medical specialists or other practitioners when necessary. | Core |
| Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff. | Core |
| Coordinate work with nurses, social workers, rehabilitation therapists, pharmacists, psychologists, and other health care providers. | Core |
| Plan, implement, or administer health programs or standards in hospitals, businesses, or communities for prevention or treatment of injury or illness. | Core |
| Train residents, medical students, and other health care professionals. | Core |
| Prepare government or organizational reports which include birth, death, and disease statistics, workforce evaluations, or medical status of individuals. | Supplemental |
0.00/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury. | E0 none |
| Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition. | E0 none |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 114K
- Projected employment, 2035
- 118K
- Change (2025–35)
- +3.3%
- Median annual wage, 2025
- $244,180
- Typical education needed for entry
- Doctoral or professional degree
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 24119 | 그 외 전문 의사 | This occupation is narrower | confirmed |
| 24120 | 일반 의사 | Overlapping, not the same | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 2211Generalist Medical Practitioners
The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.
Generalist medical practitioners (including family and primary care doctors) diagnose, treat and prevent illness, disease, injury and other physical and mental impairments and maintain general health in humans through application of the principles and procedures of modern medicine. They do not limit their practice to certain disease categories or methods of treatment, and may assume responsibility for the provision of continuing and comprehensive medical care to individuals, families and communities.
Tasks
- (a) conducting physical examinations of patients and interviewing them and their families to determine their health status;
- (b) ordering laboratory tests, X-rays and other diagnostic procedures and analysing findings to determine the nature of disorders or illnesses;
- (c) providing continuing medical care for patients including prescribing, administering, counselling on and monitoring curative treatments and preventive measures;
- (d) performing surgery and other clinical procedures;
- (e) advising individuals, families and communities on health, nutrition and lifestyle which aid prevention or treatment of disease and disorders;
- (f) providing referrals to patients and families for specialized care in hospitals, rehabilitation centres or other types of health care centres;
- (g) identifying, managing and providing referrals for complications before, during and after childbirth;
- (h) recording patients' medical information and history and exchanging information with specialist practitioners and other health workers as required for continuing medical care;
- (i) reporting births, deaths and notifiable diseases to government authorities to meet legal and professional requirements;
- (j) conducting research in human health and medical services and disseminating the findings such as through scientific reports
- (k) planning and participating in programmes designed to prevent the occurrence and spread of common diseases.
Example occupations
District medical doctor - therapist · Family medical practitioner · General practitioner · Medical doctor (general) · Medical officer (general) · Physician (general) · Primary health care physician · Resident medical officer specializing in general practice
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- general practitionerESCO 2211.1Same scope
General practitioners promote health, prevent, identify ill health, diagnose and treat diseases and promote recovery of physical and mental illness and health disorders of all kinds for all persons regardless of their age, sex or type of health problem.
- specialised doctorESCO 2212.1Overlapping, not the same
Specialised doctors prevent, diagnose and treat diseases depending on their medical or surgical specialty.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| J1102 | Médecin généraliste | This occupation is narrowerprovisional |
| J1123 | Médecin des armées | This occupation is broader |
| J1105 | Médecin coordonnateur | Related, not a matchprovisional |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 2111 | Médicos de familia | Same scope |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 81404 | Ärzte/Ärztinnen (ohne Spezialisierung) - hoch komplexe Tätigkeiten | Same scope |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 121 | 医師 | This occupation is narrowerprovisional |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources