Preventive Medicine Physicians
Healthcare Practitioners and Technical Occupations- O*NET-SOC code
- 29-1229.05
Apply knowledge of general preventive medicine and public health issues to promote health care to groups or individuals, and aid in the prevention or reduction of risk of disease, injury, disability, or death. May practice population-based medicine or diagnose and treat patients in the context of clinical health promotion and disease prevention.
- 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
0.030
0.000Range of values carried here0.745Group-level value
Scale, 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
0.27–0.29· 2 ISCO-08 groups
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.
ILO value for each linked ISCO-08 group
- ISCO-08 2211Generalist Medical Practitioners0.29
- ISCO-08 2212Specialist Medical Practitioners0.27
Task-level exposure
Show 13 hidden tasks15 rated tasks · 14 tasks with β ≥ 0.5 (93.3%)
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
- All rated tasks are in the O*NET 31.0 task list.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Tasks of O*NET-SOC 2010 occupation 29-1069.09 Preventive Medicine Physicians, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities.29-1069.09 | 0.002554.5 |
Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.29-1069.09 | 0.002145.5 |
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 |
|---|---|
Teach or train medical staff regarding preventive medicine issues.O*NET Task ID 17211 | 0.5 |
Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.O*NET Task ID 17212 | 0.5 |
Prepare preventive health reports, including problem descriptions, analyses, alternative solutions, and recommendations.O*NET Task ID 17213 | 0.5 |
Deliver presentations to lay or professional audiences.O*NET Task ID 17215 | 0.5 |
Evaluate the effectiveness of prescribed risk reduction measures or other interventions.O*NET Task ID 17216 | 0.5 |
Identify groups at risk for specific preventable diseases or injuries.O*NET Task ID 17217 | 0.5 |
Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks.O*NET Task ID 17218 | 0.5 |
Direct public health education programs dealing with topics such as preventable diseases, injuries, nutrition, food service sanitation, water supply safety, sewage and waste disposal, insect control, and immunizations.O*NET Task ID 17219 | 0.5 |
Perform epidemiological investigations of acute and chronic diseases.O*NET Task ID 17220 | 0.5 |
Develop or implement interventions to address behavioral causes of diseases.O*NET Task ID 17221 | 0.5 |
Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine.O*NET Task ID 17222 | 0.5 |
Design, implement, or evaluate health service delivery systems to improve the health of targeted populations.O*NET Task ID 17223 | 0.5 |
Coordinate or integrate the resources of health care institutions, social service agencies, public safety workers, or other organizations to improve community health.O*NET Task ID 17224 | 0.5 |
Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities.O*NET Task ID 17225 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (15)
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 |
|---|---|
| Teach or train medical staff regarding preventive medicine issues. | Core |
| Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks. | Core |
| Prepare preventive health reports, including problem descriptions, analyses, alternative solutions, and recommendations. | Core |
| Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members. | Core |
| Deliver presentations to lay or professional audiences. | Core |
| Evaluate the effectiveness of prescribed risk reduction measures or other interventions. | Core |
| Identify groups at risk for specific preventable diseases or injuries. | Core |
| Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks. | Core |
| Direct public health education programs dealing with topics such as preventable diseases, injuries, nutrition, food service sanitation, water supply safety, sewage and waste disposal, insect control, and immunizations. | Core |
| Perform epidemiological investigations of acute and chronic diseases. | Core |
| Develop or implement interventions to address behavioral causes of diseases. | Core |
| Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine. | Core |
| Design, implement, or evaluate health service delivery systems to improve the health of targeted populations. | Core |
| Coordinate or integrate the resources of health care institutions, social service agencies, public safety workers, or other organizations to improve community health. | Core |
| Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities. | Core |
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
None of this occupation's O*NET 29.3 tasks is classified as a physical task.
Occupation information
Employment outlook (BLS)
Values for the whole SOC 29-1229 group (Physicians, all other), not for this O*NET occupation alone.
- Employment, 2025
- 367K
- Projected employment, 2035
- 380K
- Change (2025–35)
- +3.4%
- Median annual wage, 2025
- $265,930
- 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 |
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
- ISCO-08 2212Specialist Medical Practitioners
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.
- specialised doctorESCO 2212.1This occupation is narrower
Specialised doctors prevent, diagnose and treat diseases depending on their medical or surgical specialty.
- general practitionerESCO 2211.1Overlapping, not the same
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.
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 |
|---|---|---|
| J1101 | Médecin du travail et de prévention | This occupation is broaderprovisional |
| K1402 | Médecin conseil | Related, not a match |
| J1107 | Médecin scolaire | Related, not a matchprovisional |
| J1109 | Médecin de la Protection Maternelle et Infantile -PMI- | 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 |
|---|---|---|
| 2112 | Otros médicos especialistas | This occupation is narrower |
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 |
|---|---|---|
| 81484 | Ärzte/Ärztinnen (sonstige spezifische Tätigkeitsangabe) - hoch komplexe Tätigkeiten | This occupation is narrowerprovisional |
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 narrower |
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