Medecins Urgentistes
SantéExposition à l'IA
- Source des données: BLSPublié: 2026-08
Élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: ILOPublié: 2025
0.27
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 74% atteignent ou dépassent cette valeur.
- Source des données: OpenAIPublié: 2023
0.353
0.000Étendue des valeurs présentées ici0.844Échelle, base et source
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Communicate likely outcomes of medical diseases or traumatic conditions to patients or their representatives.29-1214 | 0.080088.9 | 0.00000.0 |
Identify factors that may affect patient management, such as age, gender, barriers to communication, and underlying disease.29-1214 | 0.010011.1 | 0.0100100.0 |
Analyze records, examination information, or test results to diagnose medical conditions.29-1214 | 0.00000.0 | 0.00000.0 |
Conduct primary patient assessments that include information from prior medical care.29-1214 | 0.00000.0 | 0.00000.0 |
Evaluate patients' vital signs or laboratory data to determine emergency intervention needs and priority of treatment.29-1214 | 0.00000.0 | 0.00000.0 |
Refer patients to specialists or other practitioners.29-1214 | 0.00000.0 | 0.00000.0 |
Collect and record patient information, such as medical history or examination results, in electronic or handwritten medical records. | —0 | 0.00000.0 |
| Not observed on any surface — 10 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. | ||
Assess patients' pain levels or sedation requirements. | —0 | —0 |
Consult with hospitalists and other professionals, such as social workers, regarding patients' hospital admission, continued observation, transition of care, or discharge. | —0 | —0 |
Direct and coordinate activities of nurses, assistants, specialists, residents, and other medical staff. | —0 | —0 |
Discuss patients' treatment plans with physicians and other medical professionals. | —0 | —0 |
Monitor patients' conditions, and reevaluate treatments, as necessary. | —0 | —0 |
Perform emergency resuscitations on patients. | —0 | —0 |
Perform such medical procedures as emergent cricothyrotomy, endotracheal intubation, and emergency thoracotomy. | —0 | —0 |
Select and prescribe medications to address patient needs. | —0 | —0 |
Select, request, perform, or interpret diagnostic procedures, such as laboratory tests, electrocardiograms, emergency ultrasounds, and radiographs. | —0 | —0 |
Stabilize patients in critical condition. | —0 | —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 | 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 |
Perform emergency resuscitations on patients.O*NET Task ID 22726 | 0.0 |
Perform such medical procedures as emergent cricothyrotomy, endotracheal intubation, and emergency thoracotomy.O*NET Task ID 22727 | 0.0 |
Stabilize patients in critical condition.O*NET Task ID 22731 | 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