Emergency Room Physicians
HealthcareAI exposure
- 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: ILOPublished: 2025
0.27
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 74% score at or above this value.
- Data source: OpenAIPublished: 2023
0.353
0.000Range of values carried here0.844Scale, basis and source
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 198 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Educate patients about diagnoses, prognoses, or treatments.29-1069 | 0.066129.6 | 0.00607.4 |
Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.29-1069 | 0.01978.8 | 0.00496.0 |
Educate patients about maintenance and promotion of healthy vision.29-1069 | 0.01506.7 | —0 |
Prepare comprehensive interpretive reports of findings.29-1069 | 0.01285.7 | 0.011213.8 |
Interpret diagnostic test results to make appropriate differential diagnoses.29-1069 | 0.01135.1 | 0.00222.7 |
Interpret imaging data and confer with other medical specialists to formulate diagnoses.29-1069 | 0.00773.4 | 0.00394.8 |
Communicate examination results or diagnostic information to referring physicians, patients, or families.29-1069 | 0.00743.3 | —0 |
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 | 0.00642.9 | —0 |
Develop and prescribe exercise programs such as off-season conditioning regimens.29-1069 | 0.00632.8 | 0.00162.0 |
Conduct research and present scientific findings.29-1069 | 0.00602.7 | 0.00465.7 |
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 | βE1 + 0.5 × E2 |
|---|---|
Collect and record patient information, such as medical history or examination results, in electronic or handwritten medical records.O*NET Task ID 22717 | 1.0 |
Analyze records, examination information, or test results to diagnose medical conditions.O*NET Task ID 22715 | 0.5 |
Assess patients' pain levels or sedation requirements.O*NET Task ID 22716 | 0.5 |
Communicate likely outcomes of medical diseases or traumatic conditions to patients or their representatives.O*NET Task ID 22718 | 0.5 |
Conduct primary patient assessments that include information from prior medical care.O*NET Task ID 22719 | 0.5 |
Consult with hospitalists and other professionals, such as social workers, regarding patients' hospital admission, continued observation, transition of care, or discharge.O*NET Task ID 22720 | 0.5 |
Direct and coordinate activities of nurses, assistants, specialists, residents, and other medical staff.O*NET Task ID 22721 | 0.5 |
Discuss patients' treatment plans with physicians and other medical professionals.O*NET Task ID 22722 | 0.5 |
Evaluate patients' vital signs or laboratory data to determine emergency intervention needs and priority of treatment.O*NET Task ID 22723 | 0.5 |
Identify factors that may affect patient management, such as age, gender, barriers to communication, and underlying disease.O*NET Task ID 22724 | 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