Medicos de Emergencia
SaúdeExposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Alto· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: ILOPublicado: 2025
0.27
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 74% atingem ou superam este valor.
- Fonte dos dados: OpenAIPublicado: 2023
0.353
0.000Intervalo dos valores aqui apresentados0.844Escala, base e fonte
β de avaliadores humanos, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| 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