O*NET-SOC code
29-1229.06

Diagnose, treat, and help prevent injuries that occur during sporting events, athletic training, and physical activities.

AI exposure

  • Data source: BLSPublished: 2026-08

    High· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.030

    0.000Range of values carried here0.745

    Group-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

    Source dataset (CSV download)

  • 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

    Source dataset (PDF download)

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

AI exposure (OpenAI rubric)

27 rated tasks · 19 tasks with β ≥ 0.5 (70.4%)

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

Task statements from the O*NET® 31.0 Database, core tasks first.

TaskTypeβ (OpenAI)
Select and prepare medical equipment or medications to be taken to athletic competition sites.Core0
Provide coaches and therapists with assistance in selecting and fitting protective equipment.Core0
Advise against injured athletes returning to games or competition if resuming activity could lead to further injury.Core0.5
Observe and evaluate athletes' mental well-being.Core0
Participate in continuing education activities to improve and maintain knowledge and skills.Core1
Develop and prescribe exercise programs, such as off-season conditioning regimens.Core0.5
Advise athletes on ways that substances, such as herbal remedies, could affect drug testing results.Core0.5
Conduct research in the prevention or treatment of injuries or medical conditions related to sports and exercise.Core0.5
Advise athletes, trainers, or coaches to alter or cease sports practices that are potentially harmful.Core0.5
Attend games and competitions to provide evaluation and treatment of activity-related injuries or medical conditions.Core0
Record athletes' medical histories, and perform physical examinations.Core0.5
Supervise the rehabilitation of injured athletes.Core0
Refer athletes for specialized consultation, physical therapy, or diagnostic testing.Core0.5
Record athletes' medical care information, and maintain medical records.Core1
Inform coaches, trainers, or other interested parties regarding the medical conditions of athletes.Core0.5
Provide education and counseling on illness and injury prevention.Core0.5
Prescribe orthotics, prosthetics, and adaptive equipment.Core0
Prescribe medications for the treatment of athletic-related injuries.Core0.5
Order and interpret the results of laboratory tests and diagnostic imaging procedures.Core0.5
Inform athletes about nutrition, hydration, dietary supplements, or uses and possible consequences of medication.Core0.5
Evaluate and manage chronic pain conditions.Core0.5
Examine and evaluate athletes prior to participation in sports activities to determine level of physical fitness or predisposition to injuries.Core0.5
Develop and test procedures for dealing with emergencies during practices or competitions.Core0
Coordinate sports care activities with other experts, including specialty physicians and surgeons, athletic trainers, physical therapists, or coaches.Core0
Advise coaches, trainers, or physical therapists on the proper use of exercises and other therapeutic techniques, and alert them to potentially dangerous practices.Core0.5
Examine, evaluate and treat athletes who have been injured or who have medical problems such as exercise-induced asthma.Core0.5
Diagnose or treat disorders of the musculoskeletal system.Core0.5

Occupation information

Sources and attribution

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 29-1229.06 Sports Medicine Physicians

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

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