- O*NET-SOC code
- 29-1229.02
Provide inpatient care predominantly in settings such as medical wards, acute care units, intensive care units, rehabilitation centers, or emergency rooms. Manage and coordinate patient care throughout 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
0.030
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 12 hidden tasks14 rated tasks · 13 tasks with β ≥ 0.5 (92.9%)
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 29-1069.03 Hospitalists, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Refer patients to medical specialists, social services or other professionals as appropriate.29-1069.03 | 0.0069100.0 |
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 |
|---|---|
Participate in continuing education activities to maintain or enhance knowledge and skills.O*NET Task ID 17097 | 1.0 |
Write patient discharge summaries and send them to primary care physicians.O*NET Task ID 17099 | 1.0 |
Train or supervise medical students, residents, or other health professionals.O*NET Task ID 17101 | 1.0 |
Refer patients to medical specialists, social services, or other professionals as appropriate.O*NET Task ID 17096 | 0.5 |
Direct the operations of short stay or specialty units.O*NET Task ID 17100 | 0.5 |
Prescribe medications or treatment regimens to hospital inpatients.O*NET Task ID 17102 | 0.5 |
Order or interpret the results of tests such as laboratory tests and radiographs (x-rays).O*NET Task ID 17103 | 0.5 |
Attend inpatient consultations in areas of specialty.O*NET Task ID 17104 | 0.5 |
Conduct discharge planning and discharge patients.O*NET Task ID 17105 | 0.5 |
Diagnose, treat, or provide continuous care to hospital inpatients.O*NET Task ID 17106 | 0.5 |
Admit patients for hospital stays.O*NET Task ID 17107 | 0.5 |
Communicate with patients' primary care physicians upon admission, when treatment plans change, or at discharge to maintain continuity and quality of care.O*NET Task ID 17108 | 0.5 |
Direct or support quality improvement projects or safety programs.O*NET Task ID 23920 | 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 (14)
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 |
|---|---|
| Refer patients to medical specialists, social services, or other professionals as appropriate. | Core |
| Participate in continuing education activities to maintain or enhance knowledge and skills. | Core |
| Direct, coordinate, or supervise the patient care activities of nursing or support staff. | Core |
| Write patient discharge summaries and send them to primary care physicians. | Core |
| Direct the operations of short stay or specialty units. | Core |
| Train or supervise medical students, residents, or other health professionals. | Core |
| Prescribe medications or treatment regimens to hospital inpatients. | Core |
| Order or interpret the results of tests such as laboratory tests and radiographs (x-rays). | Core |
| Attend inpatient consultations in areas of specialty. | Core |
| Conduct discharge planning and discharge patients. | Core |
| Diagnose, treat, or provide continuous care to hospital inpatients. | Core |
| Admit patients for hospital stays. | Core |
| Communicate with patients' primary care physicians upon admission, when treatment plans change, or at discharge to maintain continuity and quality of care. | Core |
| Direct or support quality improvement projects or safety programs. | 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
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 |
|---|---|
| Attend inpatient consultations in areas of specialty. | E0 none |
| Diagnose, treat, or provide continuous care to hospital inpatients. | E0 none |
| Admit patients for hospital stays. | E0 none |
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 |
|---|---|---|---|
| 24111 | 내과 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.
- 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 |
|---|---|---|
| J1102 | Médecin généraliste | This occupation is narrowerprovisional |
| J1127 | Médecin urgentiste | 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 |
| 81424 | Fachärzte/-ärztinnen in der Inneren Medizin - hoch komplexe Tätigkeiten | Related, not a match |
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