Preventive Medicine Physicians
Healthcare Practitioners and Technical Occupations- O*NET-SOC 代码
- 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.
- 数据来源: BLS发布时间: 2026-08
高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别(低 / 中等 / 高 / 很高)
以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.030
0.000此处所载数值的范围0.745职业群单位数值
尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.27–0.29· ISCO-08 职业组 2 个
尺度 · 母数 · 来源
生成式AI暴露度指数,按发布原值0–1
按 ISCO-08 细类(4 位)发布的数值。按原样应用美国劳工统计局(BLS)的官方对照表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)关联到本职业,对应关系为全部或部分对应
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。
各关联 ISCO-08 职业组的 ILO 数值
- ISCO-08 2211Generalist Medical Practitioners0.29
- ISCO-08 2212Specialist Medical Practitioners0.27
Task-level exposure
仅显示有暴露的工作已评分任务 15 项 · β ≥ 0.5 的任务 14 项(93.3%)
β = 直接暴露(E1)+ 0.5 × 借助工具时的暴露(E2),依据原始代码库的定义。
- 原始单位:O*NET 27.2 任务 → O*NET 31.0 职业代码
- 所有已评分任务均在 O*NET 31.0 任务列表中。
- 来源
- OpenAI "GPTs are GPTs" exposure rubric
- 版本
- gh-main-0471612
- 许可
- MIT License, Copyright (c) 2024 OpenAI
以下为 O*NET-SOC 2010 职业 29-1069.09 Preventive Medicine Physicians 的工作任务,由本站依据 O*NET-SOC 2010→2019 官方对照表关联到此职业
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.29-1069.09 | 0.007759.6 |
Design, implement, or evaluate health service delivery systems to improve the health of targeted populations.29-1069.09 | 0.002721.2 |
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 | 0.002519.2 |
| Not observed on any surface — 12 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Teach or train medical staff regarding preventive medicine issues. | —0 |
Prepare preventive health reports including problem descriptions, analyses, alternative solutions, and recommendations. | —0 |
Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members. | —0 |
Deliver presentations to lay or professional audiences. | —0 |
Evaluate the effectiveness of prescribed risk reduction measures or other interventions. | —0 |
Identify groups at risk for specific preventable diseases or injuries. | —0 |
Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks. | —0 |
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. | —0 |
Perform epidemiological investigations of acute and chronic diseases. | —0 |
Develop or implement interventions to address behavioral causes of diseases. | —0 |
Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine. | —0 |
Coordinate or integrate the resources of health care institutions, social service agencies, public safety workers, or other organizations to improve the community health. | —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 |
|---|---|
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 |
Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members.O*NET Task ID 17214 | 0.0 |
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
O*NET 31.0 全部任务(15 项)
本职业在 O*NET 31.0 中的全部任务(英文原文;任务类型为核心或补充)。暴露值不列在此清单中,而在上方表格里,位于各来源所用 O*NET 版本的任务表述旁。
| 任务(O*NET 31.0) | 类型 |
|---|---|
| Teach or train medical staff regarding preventive medicine issues. | 核心 |
| Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks. | 核心 |
| Prepare preventive health reports, including problem descriptions, analyses, alternative solutions, and recommendations. | 核心 |
| Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members. | 核心 |
| Deliver presentations to lay or professional audiences. | 核心 |
| Evaluate the effectiveness of prescribed risk reduction measures or other interventions. | 核心 |
| Identify groups at risk for specific preventable diseases or injuries. | 核心 |
| Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks. | 核心 |
| 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. | 核心 |
| Perform epidemiological investigations of acute and chronic diseases. | 核心 |
| Develop or implement interventions to address behavioral causes of diseases. | 核心 |
| Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine. | 核心 |
| Design, implement, or evaluate health service delivery systems to improve the health of targeted populations. | 核心 |
| Coordinate or integrate the resources of health care institutions, social service agencies, public safety workers, or other organizations to improve community health. | 核心 |
| 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. | 核心 |
0.00/ 3· 机器人暴露指数
尺度 · 母数 · 来源
对每项体力任务,按已实际部署、销售或演示的机器人能够完成它的环境评定 0–3 级(0 不可 · 1 围栏式机器单元、灌装线等机器人专用设施 · 2 医院药房、集装箱港口等受管理的设施 · 3 私人住宅、建筑工地等非结构化环境),再按工作时间占比求平均
以该职业 O*NET 29.3 任务中的体力任务为准
等级与时间占比由 Anthropic 使用 Claude Opus 5(网络搜索)估算(截至 2026 年)。
机器人暴露指数与本站的 AI 暴露度是不同的指标,不能相加或相互比较。该指数不代表实际采用情况或成本竞争力,0 也包括没有体力任务的职业。
每项体力任务的等级
该职业的 O*NET 29.3 任务中没有被归类为体力任务的任务。
职业信息
就业展望(BLS)
这些数值属于整个 SOC 29-1229 组(Physicians, all other),并非仅属于该 O*NET 职业。
- 就业人数,2025
- 367K
- 预计就业人数,2035
- 380K
- 变化 (2025–35)
- +3.4%
- 年薪中位数,2025
- $265,930
- 入职通常所需学历
- Doctoral or professional degree
韩国职业分类关联(KSCO)
来自 AI Changing Work 制作的 Korea Occupation Direct Crosswalk v1.1 当前版本的关联。关系值从 O*NET-SOC 职业一侧解读。
| KSCO 代码 | KSCO 名称 | 关系 | 状态 |
|---|---|---|---|
| 24119 | 그 외 전문 의사 | 本职业范围更窄 | 已确认 |
关系与状态的定义(kr-direct v1.1)
国际劳工组织(ILO)职业说明
以下 ISCO-08 职业组由 AI Changing Work 原样套用美国劳工统计局(BLS)发布的对照表(2018 SOC→2010 SOC、2010 SOC→ISCO-08)、不逐案取舍,与本职业相关联;每项关联可能是完全对应,也可能是部分对应。
- ISCO-08 2211Generalist Medical Practitioners
全科医师
- ISCO-08 2212Specialist Medical Practitioners
专科医师
自行翻译
自行翻译 · 非 ISCO 官方词汇 — 未经国际劳工组织审核。
Sources: ILO ISCO-08 — details: Credits
ESCO 职业词汇
以下每一项都是在已公开的ESCO-O*NET Crosswalk(第 1 版,2022 年)中与本职业逐项对应的。对应类型出自该对照表;表述出自 AI Changing Work。
- specialised doctorESCO 2212.1本职业范围更窄
Specialised doctors prevent, diagnose and treat diseases depending on their medical or surgical specialty.
- general practitionerESCO 2211.1有重叠,但不相同
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.
来源: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
许可: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
法国职业分类关联(ROME)
本职业与 ROME 4.0 职业条目(fiche)之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。标为「暂定」的关联仅凭同一模型系列(Claude)两位判定者的判定采纳,或对其判定适用运营方规则后采纳,因此其依据弱于已确认的关联。
| ROME 代码 | ROME 名称(法语) | 关系 |
|---|---|---|
| J1101 | Médecin du travail et de prévention | 本职业范围更宽暂定 |
| K1402 | Médecin conseil | 相关,但不对应 |
| J1107 | Médecin scolaire | 相关,但不对应暂定 |
| J1109 | Médecin de la Protection Maternelle et Infantile -PMI- | 相关,但不对应暂定 |
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)
西班牙职业分类关联(CNO-11)
本职业与 CNO-11 职业之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。
| CNO-11 代码 | CNO-11 名称(西班牙语) | 关系 |
|---|---|---|
| 2112 | Otros médicos especialistas | 本职业范围更窄 |
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)
德国职业分类关联(KldB)
本职业与 KldB 职业之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。
| KldB 代码 | KldB 名称(德语) | 关系 |
|---|---|---|
| 81484 | Ärzte/Ärztinnen (sonstige spezifische Tätigkeitsangabe) - hoch komplexe Tätigkeiten | 本职业范围更窄暂定 |
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)
日本职业分类关联(JSCO)
本职业与 JSCO 职业之间的关联,由 AI Changing Work 借助 AI 模型判定。关系从本职业一侧解读。
| JSCO 代码 | JSCO 名称(日语) | 关系 |
|---|---|---|
| 121 | 医師 | 本职业范围更窄 |
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)
本页数据的来源与许可,以及 AI Changing Work 的修改与翻译说明:致谢与来源